Journal articles: 'Multicriteria Decision Support model'

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Mitkus, Sigitas, and Eva Trinkūnienė. "ANALYSIS OF CRITERIA SYSTEM MODEL FOR CONSTRUCTION CONTRACT EVALUATION." Technological and Economic Development of Economy 13, no. 3 (September 30, 2007): 244–52. http://dx.doi.org/10.3846/13928619.2007.9637806.

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A number of multicriteria decisions must be made during construction investment processes. A number of support systems for multicriteria tasks of construction investment processes are available. Part of them is reviewed in this article. Effectiveness of the construction investment process is greatly influenced by an appropriate formulation of a construction contract. In order to formulate effective construction contract, multicriteria techniques for evaluation and comparison of the contracts must be created. Beside technical, organisational and economic aspects of construction, legal aspects of a construction contract must be also analysed in order to create such techniques. Therefore legal decision‐making systems are also reviewed in the article. A conclusion can be made from the review that decision‐making systems for construction contracts are not available currently. One of the main tasks in the creation of multicriteria support systems is the formation of a multicriteria indicator system. In this paper the structure of construction contracts are analysed and a hierarchical model of a construction contract is presented. Construction contracts have to be made evaluated and compared to this model. On the basis of this model, significance of indicators should be determined and a multicriteria decision support system should be created in further research stages.

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Mitkus, Sigitas, and Eva Trinkūnienė. "MODELS OF INDICATOR SYSTEMS OF CONSTRUCTION CONTRACTION AGREEMENTS." JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT 12, no. 4 (December 31, 2006): 327–35. http://dx.doi.org/10.3846/13923730.2006.9636410.

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A number of multicriteria decisions must be made during construction investment processes. A number of support systems for multicriteria tasks of construction investment processes are available. A part of them is reviewed in this article. Effectiveness of the construction investment process is greatly influenced by an appropriate formulation of a construction contraction agreement (CCA). In order to formulate the effective contraction agreements, multicriteria techniques for evaluating and comparing CCAs must be created. Besides technical, organisational and economic aspects of construction, legal aspects of a CCA must be also analysed in order to prepare such techniques. Therefore, legal decision making systems are also reviewed in the article. A conclusion can be made from the review that legal decision making systems for CCAs are not available currently. One of the main tasks in the creation of multicriteria support systems is the formation of a multicriteria indicator system. Three models of multicriteria indicator systems of CCAs are analysed in the article, and the best model for creating multicriteria evaluation technique is determined. On the basis of this model, significance of indicators should be determined and a multicriteria decision support system should be created in further research stages.

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Сатторов and F. Sattorov. "Methods of indistinct multicriteria decision support in network planning." Forestry Engineering Journal 4, no. 2 (June 10, 2014): 0. http://dx.doi.org/10.12737/4534.

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In this paper we consider the solution of multicriteria decision support in the assessment of the time parameter of network plan under uncertainty fuzzy character. Proposed method is based on the mechanisms of fuzzy set theory and multicriteria optimization and represents a fuzzy model, as input parameters of which set of fuzzy criterion act, the calculation in a fuzzy model is carried out on the bases of fuzzy reasoning (logical implication) of the base of rules, and as an output parameter of model, ie, possibilistic duration of work acts as the resulting function.

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Pavlov, Sergey V., Vladimir A. Dokuchaev, and Sergey S. Mytenkov. "MODEL OF A FUZZY DYNAMIC DECISION SUPPORT SYSTEM." T-Comm 14, no. 9 (2020): 43–47. http://dx.doi.org/10.36724/2072-8735-2020-14-9-43-47.

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Within the framework of this article, the analysis of the ways of building an automated decision support system for business and technological processes based on the thematic apparatus of the theory of fuzzy functions is carried out. The purpose of decision support systems is to help the decision maker (business owners, top managers of companies, heads of state organizations and law enforcement agencies) in choosing the most optimal solution based on the information at his disposal. It is proposed to use mathematical methods based onfuzzy multicriteria ranking as methods for making a decision. The paper proposes a model of an automated decision support system for business and technological processes of organizations based onthe mathematical apparatus of the theory of fuzzy functions, which allows automating the process of choosing a solution and eliminating the influence of subjective factors when assessing possible decisions.

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Gailly, B., F. Boulier, and M. Installe. "Decision Support Tools Using Hierarchical Multicriteria Models." IFAC Proceedings Volumes 26, no. 2 (July 1993): 665–67. http://dx.doi.org/10.1016/s1474-6670(17)48351-0.

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Ensslin, Leonardo, Clarissa Carneiro Mussi, Ademar Dutra, Sandra Rolim Ensslin, and Sandro Natalino Demetrio. "Management Support Model for Information Technology Outsourcing." Journal of Global Information Management 28, no. 3 (July 2020): 123–47. http://dx.doi.org/10.4018/jgim.2020070107.

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This study deals with the problem of outsourcing management, presenting a structure to support decision-making on effective information-technology outsourcing and highlighting the advantages and disadvantages that must be addressed. Since the study involves multiple variables, partially defined and conflicting objectives, and the will of decision-makers to broaden their understanding of the impact of decisions, the study used the multicriteria decision aid constructivist method to lead data collection and analysis. The chief results presented are: (i) a structured appraisal arranged by 8 strategic objectives and 107 performance indicators; (ii) the strengths and weaknesses of the status quo; and (iii) a process diagram for generating improvements. To ensure presentation of scientific and practical recognition in accordance with the constructivist path, the epistemological view adopted meets the scientific and practical requirements to ensure validity, legitimacy, and effectiveness of a model to support a decision-making process in a practical environment.

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Silva, Glayse Ferreira Perroni da, and Mischel Carmen Neyra Belderrain. "Prioritization of strategic initiatives in the context of natural disaster prevention." Brazilian Journal of Operations & Production Management 16, no. 3 (August 29, 2019): 473–89. http://dx.doi.org/10.14488/bjopm.2019.v16.n3.a10.

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Goal: The purpose of this paper is to build the structure of a multicriteria decision model that supports definition and prioritization of strategic initiatives by an institution performing in the prevention of natural disasters. Design/Methodology/Approach: The Multicriteria Decision Analysis (MCDA) methodological process is adopted to build a multicriteria evaluation model. A two-phase process is followed, employing a top-down approach, based on Value-Focused Thinking (VFT), in combination with the Multi Attribute Value Theory (MAVT) method. The participants of the MCDA process were experts of the control room in the case study institution. Results: The proposed methodology not only helped decision makers to enumerate a number of strategic initiatives to accomplish the organizational objective, but also helped them to establish a structured procedure to prioritize these initiatives. Limitations: Absence of a criterion related to the organization budget in the model; limited scope of participation in the process; absence of quantitative criteria. Practical implications: The major practical contributions are as follows: an structured model that supports the strategic planning process; a better allocation of resources (human, financial, and materials) in projects that are truly aligned with the strategic objective of the organization; the organizational learning coming from the exercise of reflection on values, objectives and preferences; and the legitimacy of decisions as a result of the participative character of the construction process of the model. Originality/Value: In this study, a multicriteria evaluation model is structured and applied as support for strategic decision making in the context of a natural disaster early warning system. The model has a significant application potential, since it encourages the adoption of structured decision support methods rather than traditional empirical decision making. Thus, the value of the study lies in the contribution that the proposed model can offer to more effective disaster prevention.

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Fernandes, Ciro Henrique de Araújo, Lucio Camara e. Silva, Patricia Guarnieri, and Bárbara de Oliveira Vieira. "Multicriteria Model Proposition to Support the Management of Systems of E-Waste Collection." Logistics 5, no. 3 (September 3, 2021): 60. http://dx.doi.org/10.3390/logistics5030060.

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Background: Considering the global concern in balancing economic growth with environmental sustainability, the study proposes a model to support multicriteria decision-making. From the systematic literature review and bibliometric analysis, there was an increasing trend in studies on electronic waste due to governments, stakeholders, and the population to better address the management of this waste; Methods: We propose a decision model considering some aspects and phases that help from collecting information to support decision making, based on the FITradeoff ordering method, to support policy decisions for managing Waste from Electrical and Electronic Equipment (WEEE) collection systems.; Results: After applying the proposed model, validated based on the perception of a decision-maker working in a federal public agency, we obtained the final classification with ten positions of alternatives; Conclusions: This outcome can assist in decision making and management of the collection of WEEE. In addition, we made recommendations to manufacturers have more responsibility in the design and traceability of the product to guarantee its recovery after disposal effectively.

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Silva, Vanessa B. S., Danielle C. Morais, and Adiel T. Almeida. "A Multicriteria Group Decision Model to Support Watershed Committees in Brazil." Water Resources Management 24, no. 14 (May 7, 2010): 4075–91. http://dx.doi.org/10.1007/s11269-010-9648-2.

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PARK, JOONAM, ANN BOSTROM, BARRY J. GOODNO, and JAMES I. CRAIG. "APPLICATION OF PROBABILISTIC DECISION MODELS FOR SEISMIC REHABILITATION OF STRUCTURES." International Journal of Information Technology & Decision Making 10, no. 02 (March 2011): 309–31. http://dx.doi.org/10.1142/s0219622011004348.

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This paper outlines a decision framework that incorporates state-of-the-art earthquake engineering information and decision maker preferences into multicriteria decision models to support earthquake risk mitigation decisions. Seismic risk analysis of a structure is utilized for probabilistic estimation of the anticipated seismic losses, which in turn is used as inputs to the decision analysis for seismic rehabilitation of the structure. Three decision models are used to provide insight into the value of system interventions to reduce earthquake risks: (1) an equivalent cost model, (2) multi-attribute utility theory, and (3) joint probability decision making. Guidelines for selecting and applying multicriteria decision models for seismic rehabilitation of building structures are derived based on preferences for including risk attitudes and for measuring values. The detailed procedures for the selection and application of the decision models for seismic rehabilitation of building structures are demonstrated through a case study, where a collection of hospitals in a metropolitan area is examined.

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da Silva, Denilson Dimas, Natália Veloso Caldas de Vasconcelos, and Cristiano Alexandre Virginio Cavalcante. "Multicriteria Decision Model to Support the Assignment of Storage Location of Products in a Warehouse." Mathematical Problems in Engineering 2015 (2015): 1–8. http://dx.doi.org/10.1155/2015/481950.

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The storage of products has a strategic role in the supply chain: an efficient organization of products in appropriate locations enables these products to be moved faster inside the warehouse and logistics channel, which increases the speed of delivery and the competitiveness of enterprises. The aim of this paper is to propose a multicriteria decision support model for ranking products and assigning them to warehouse storage locations. During the structuring of the model, the nature of the problem was defined as multicriteria; therefore, the SMARTER and lexicographic methods were applied. The results showed an ordering of products that allowed their strategic location in a hypothetical nonautomated warehouse.

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Rivero Gutiérrez, Lourdes, María Auxiliadora De Vicente Oliva, and Alberto Romero-Ania. "Managing Sustainable Urban Public Transport Systems: An AHP Multicriteria Decision Model." Sustainability 13, no. 9 (April 21, 2021): 4614. http://dx.doi.org/10.3390/su13094614.

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The current combination of sustainable social awareness and the improved decision support systems, including multiple criteria decision models for sustainable development, creates the need for more efficient and accurate public policy decisions based on available technology. The continuous growth of urban public road transport in large cities, and therefore the worsening of air quality, along with recent economic crisis derived from the COVID-19 pandemic, is forcing public administrations to analyze the viability of current models, taking into consideration sustainable alternative energies. This study proposes a novel and consistent analytic hierarchy process (AHP) multicriteria decision-making (MCDM) model that combines both economic and environmental criteria, to evaluate public road transportation vehicles according to their alternative engine technologies and combustion characteristics. The proposed model has been applied to evaluate Madrid’s urban public road transport, based on 2020 data published by the Madrid City Council, compiled by authors, and assessed by a panel of 20 experts to identify criteria and factors included in the AHP-MCDM model. The findings illustrate the economic and environmental impact of alternative vehicles, show that the most sustainable alternative is the plug-in electric vehicle in economic and environmental terms, and assist policymakers and firms in future strategic decisions regarding sustainable urban transport policies.

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Dehouche, Nassim. "Accounting for asymmetry between strengths, weaknesses, opportunities and threats in outranking methods." Journal of Modelling in Management 12, no. 2 (May 8, 2017): 265–90. http://dx.doi.org/10.1108/jm2-09-2015-0063.

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Purpose The purpose of this paper consists in discussing and modeling the asymmetrical nature of evaluation criteria that are notably relevant in strategic planning, project portfolio management and complex systems management. Design/methodology/approach The author guarantees the theoretic validity of the proposed approach, by showing that it possesses desirable properties such as monotonicity. This allows for a reduced implementation time and thus a real-time use of the model. Findings The author conducts a comparative study with two other multicriteria decision aid models on a set of real data regarding a power plant sitting problem and highlights some of the limitations of previous models compared to the proposed approach. Originality/value This paper describes a novel multicriteria decision aid model, entitled SPADE (which is an acronym for Structuring Preferences to Aid DEcisions). It aims at consolidating SWOT analysis with sound decision-theoretic techniques, and making use of its results to support decision-making.

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Ważna, Lilianna, and Tadeusz Krupa. "The Multicriteria Assessment Methodology of the Decision Support System Implementation Effectiveness." Foundations of Management 2, no. 2 (January 1, 2010): 81–100. http://dx.doi.org/10.2478/v10238-012-0030-y.

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The Multicriteria Assessment Methodology of the Decision Support System Implementation EffectivenessThe multi-criteria assessment methodology of implementation effectiveness of information systems illustrated by an example of decision support system (DSS) realized in w information technologies is presented in the article. The assessment of DSS under consideration takes place using the knowledge recorded in the form of fuzzy neural network, collected in an enterprise, on the basis of earlier realized implementations of other information systems. A model of retrieved DSS is expressed by means of a set of functionalities serving business processes of the enterprise under consideration. A model of implementation undertaking determined by means of a set of preparatory actions for the implementation and a set of directly implementation and exploitation actions is built for the retrieved DSS as well. Furthermore, a vector determining a current and planned implementation state of a set of DSS functionalities in the enterprise at time moments, before and after the commencement of planned implementation of the retrieved DSS is built. A concept of trapezoidal fuzzy numbers is used in building DSS models. An adjustment of fuzzy parameters of DSS models takes place by means of geometrical method of maximum absolute error points. A presented methodology enables to execute a multi-criteria effectiveness assessment of planned undertaking in relation to subjective criteria established by the enterprise (preferred time, cost and values of priority indexes). Additionally, the knowledge collected on the basis of earlier realized implementations of information systems and applied imprecise description of parameters taking into account errors made in their estimation in the past is used.

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San Pedro, Jocelyn, Frada Burstein, and Alan Sharp. "A case-based fuzzy multicriteria decision support model for tropical cyclone forecasting." European Journal of Operational Research 160, no. 2 (January 2005): 308–24. http://dx.doi.org/10.1016/j.ejor.2003.09.003.

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Kazibudzki, Pawel Tadeusz, and Andrzej Z. Grzybowski. "On Some Advancements within Certain Multicriteria Decision Making Support Methodology." American Journal of Business and Management 2, no. 2 (May 30, 2013): 143. http://dx.doi.org/10.11634/216796061706281.

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Deriving true priority vectors from intuitive pairwise comparison matrices (PCMs) and consistency measurement of decision makers judgments about their genuine weights are crucial issues within the multicriteria decision making support methodology called Analytic Hierarchy Process (AHP). The most popular procedure in the ranking process, constitutes the Right Eigenvector Method (REV). The inventor of the AHP convinces that as long as inconsistent PCMs are allowed in the AHP none of the other existing procedures qualify and the REV provides the only right solution in this process. The objective of this scientific paper is to examine if the former opinion can be considered as experimentally confirmed. For this purpose it was decided to apply Monte Carlo methodology. However, rather than simulate and analyze simulations results for a single PCM, as it has been done so far by many other authors, we decided to design and analyze computer simulations results for a singular model of the AHP framework. Our findings lead to inevitable conclusion that the REV cannot longer be perceived as a dominant procedure within the AHP methodology, especially when nonreciprocal PCMs are considered. It was verified empirically in our research that in the situation when nonreciprocal PCMs are considered the REV impoverishes the entire AHP methodology by its lack of PCMs inconsistency measure in such cases. Moreover, it provides less accurate rankings for a particular decision in comparison to other presented methods. It was also unequivocally verified that the enforced reciprocity of PCM leads directly to worse estimates of priorities weights. Altogether, it seems very important from the perspective of methodology supporting multicriteria decision making, the crucial process embedded in most of management activity. In the consequence, because the REV recedes other prioritization procedures available for the AHP methodology, it is advised to consider them instead, especially under some circumstances of an important and very tight managerial decisions.

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Yatsalo, B., V. Didenko, A. Tkachuk, G. Gritsyuk, O. Mirzeabasov, V. Slipenkaya, A. Babutski, I. Pichugina, T. Sullivan, and I. Linkov. "Multi-Criteria Spatial Decision Support System DECERNS." International Journal of Information Systems and Social Change 1, no. 1 (January 2010): 11–30. http://dx.doi.org/10.4018/jissc.2010092902.

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Land-use planning and environmental management often requires an implementation of both geoyspatial information analysis and value-driven criteria within the decision-making process. DECERNS (Decision Evaluation in Complex Risk Network Systems) is a web-based distributed decision support system for multicriteria analysis of a wide range of spatially-explicit land management alternatives. It integrates mainly basic and some advanced GIS functions and implements several Multi-Criteria Decision Analysis (MCDA) methods and tools. DECERNS can also be integrated with a model server containing generic and site specific models for in-depth analysis of project and environmental risks as well as other decision criteria under consideration. This paper provides an overview of the modeling approaches as well as methods and tools used in DECERNS. Application of the DECERNS WebSDSS (Web-based Spatial Decision Support System) for a housing site selection case study is presented.

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Almeida, Ana, and Goreti Marreiros. "An Approach to Collaborative Scheduling Through Group Decision Support." Journal of Advanced Computational Intelligence and Intelligent Informatics 10, no. 4 (July 20, 2006): 479–85. http://dx.doi.org/10.20965/jaciii.2006.p0479.

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The model we present supporting collaborative scheduling in complex dynamic manufacturing environments, considers the interaction between an agent-based scheduling module (ASM) and a group decision support module (GDSM). The ASM outputs a set of candidate scheduling solutions, each generated based on specific criteria and/or by a particular method. Scheduling is a multicriteria decision problem in practice where different schedulers may agree on key objectives but differ greatly on their relative importance in any given situation. Interaction among scheduling actors is supported by the GDSM selecting a scheduling solution.

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BANA E COSTA, CARLOS A., JEAN-MARIE DE CORTE, and JEAN-CLAUDE VANSNICK. "MACBETH." International Journal of Information Technology & Decision Making 11, no. 02 (March 2012): 359–87. http://dx.doi.org/10.1142/s0219622012400068.

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This paper presents an up-to-date comprehensive overview of the MACBETH approach to multicriteria decision-aid. It requires only qualitative judgements about differences of attractiveness to help a decision maker, or a decision-advisory group, quantify the relative value of options. The approach, based on the additive value model, aims to support interactive learning about evaluation problems and the elaboration of recommendations to prioritize and select options in individual or group decision making processes. A case study based on a real-world application of MACBETH for multicriteria value measurement of IT solutions is presented. It shows how the M-MACBETH decision support system can be used in practice to construct an additive evaluation model. The paper addresses key issues related to structuring the model, building value scales, weighting criteria and sensitivity and robustness analyzes. Reference is also made to applications of MACBETH reported in the scientific literature.

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Mohebbi, Abolfazl, Sofiane Achiche, and Luc Baron. "A fuzzy-based framework to support multicriteria design of mechatronic systems." Journal of Computational Design and Engineering 7, no. 6 (August 12, 2020): 816–29. http://dx.doi.org/10.1093/jcde/qwaa059.

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Abstract Designing a mechatronic system is a complex task since it deals with a high number of system components with multidisciplinary nature in the presence of interacting design objectives. Currently, the sequential design is widely used by designers in industries that deal with different domains and their corresponding design objectives separately leading to a functional but not necessarily an optimal result. Consequently, the need for a systematic and multiobjective design methodology arises. A new conceptual design approach based on a multicriteria profile for mechatronic systems has been previously presented by the authors, which uses a series of nonlinear fuzzy-based aggregation functions to facilitate decision-making for design evaluation in the presence of interacting criteria. Choquet fuzzy integrals are one of the most expressive and reliable preference models used in decision theory for multicriteria decision-making. They perform a weighted aggregation by the means of fuzzy measures assigning a weight to any coalition of criteria. This enables the designers to model importance and also interactions among criteria, thus covering an important range of possible decision outcomes. However, specification of the fuzzy measures involves many parameters and is very difficult when only relying on the designer's intuition. In this paper, we discuss three different methods of fuzzy measure identification tailored for a mechatronic design process and exemplified by a case study of designing a vision-guided quadrotor drone. The results obtained from each method are discussed in the end.

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Henriques de Gusmão, Ana Paula, and Cristina Pereira Medeiros. "A Model for Selecting a Strategic Information System Using the FITradeoff." Mathematical Problems in Engineering 2016 (2016): 1–7. http://dx.doi.org/10.1155/2016/7850960.

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This paper arose from the perceived need to make a contribution towards assessing a strategic information system by using a new method for eliciting the weights of criteria. This is considered one of the most complex and important stages in multicriteria models. Multicriteria models have been proposed to support decisions in the context of information systems given that problems in this field deal with many conflicting criteria. The new procedure for eliciting the weights of the criteria has the advantage of requiring less effort from the decision-maker and, thus, the risk of inconsistent answers is minimized. Therefore, a model based on this new procedure is proposed and applied using data from a glass packaging factory that needs to select a single information system from a set of systems previously identified as relevant. The results obtained are consistent both with the performance of alternatives and with the additive model used to evaluate the alternatives.

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de Oliveira e Silva, André Luiz, Cristiano Alexandre Virginio Cavalcante, and Natália Veloso Caldas de Vasconcelos. "A multicriteria decision model to support the selection of suppliers of motor repair services." International Journal of Advanced Manufacturing Technology 84, no. 1-4 (August 28, 2015): 523–32. http://dx.doi.org/10.1007/s00170-015-7673-2.

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Roselli, Lucia Reis Peixoto, Eduarda Asfora Frej, Rodrigo José Pires Ferreira, Alexandre Ramalho Alberti, and Adiel Teixeira de Almeida. "Utility-Based Multicriteria Model for Screening Patients under the COVID-19 Pandemic." Computational and Mathematical Methods in Medicine 2020 (September 1, 2020): 1–8. http://dx.doi.org/10.1155/2020/9391251.

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In this paper, a utility-based multicriteria model is proposed to support the physicians to deal with an important medical decision—the screening decision problem—given the squeeze put on resources due to the COVID-19 pandemic. Since the COVID-19 emerged, the number of patients with an acute respiratory failure has increased in the health units. This chaotic situation has led to a deficiency in health resources. Thus, this study, using the concepts of the multiattribute utility theory (MAUT), puts forward a mathematical model to aid physicians in the screening decision problem. The model is used to generate which of the three alternatives is the best one for where patients with suspected COVID-19 should be treated, namely, an intensive care unit (ICU), a hospital ward, or at home in isolation. Also, a decision information system, called SIDTriagem, is constructed and illustrated to operate the mathematical model proposed.

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Ensslin, Leonardo, Ademar Dutra, Renard Pereira Martins, and Vinicius Dezem. "Modelo construtivista para apoiar o processo de gestão da Universidade Federal de Tocantins." Revista Ibero-Americana de Estratégia 15, no. 2 (June 1, 2016): 122–29. http://dx.doi.org/10.5585/ijsm.v15i2.2309.

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Higher education institutions have a direct impact in promoting economic growth and social development. Specially of the environment on which they operate. Their results are expected by governments, businesses and society. For this reason, there is a need for management tools that can support decision-making processes. In this context, this present study main question is how a Performance Assessment Model can contribute to Araguina Campus management process of the Federal University of Tocantins (UFT)? To answer the question, the goal is to structure a performance evaluation multicriteria model to support the management of Araguaína campus of the Federal University of Tocantins. The developed case study has exploratory character with qualitative and quantitative approach, collecting primary and secondary data. The intervention instrument used was the Multicriteria Decision-Aid Methodology – Constructivist (MCDA-C). Methodology that meets the foundations of performance evaluation as a decision support tool. We identified 8 strategic objectives, operationalized by 134 performance indicators. Among these, 33 are in compromising performance, highlighting the need for intervention. The model facilitated the overview of this situation and provided a process for proposing improvement actions. Thus, enabling the monitoring and improvement of the current situation.

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Yu, Lean, Shouyang Wang, and Kin Keung Lai. "An intelligent-agent-based fuzzy group decision making model for financial multicriteria decision support: The case of credit scoring." European Journal of Operational Research 195, no. 3 (June 2009): 942–59. http://dx.doi.org/10.1016/j.ejor.2007.11.025.

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Poleto, Thiago, Thárcylla Rebecca Negreiros Clemente, Ana Paula Henriques de Gusmão, Maisa Mendonça Silva, and Ana Paula Cabral Seixas Costa. "Integrating value-focused thinking and FITradeoff to support information technology outsourcing decisions." Management Decision 58, no. 11 (July 6, 2020): 2279–304. http://dx.doi.org/10.1108/md-09-2019-1293.

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PurposeThe information technology (IT) outsourcing (ITO) decision is a key issue in strategic and operational management and is considered a main critical factor influencing successful organizational performance and technology assessment. The purpose of this paper is to propose a framework combining value-focused thinking (VFT) methodology and the FITradeoff method to support decisions regarding ITO.Design/methodology/approachThis study answers the following questions: How to identify, in a structured way, the objectives that should be considered in an ITO decision process in a changing environment? How to identify new IT services to be outsourced from the established objectives? The VFT method is recommended in this case to structure and model the problem. Moreover, the FITradeoff multicriteria method was considered in this study to support the evaluation and prioritization of IT services in an ITO decisionFindingsThe framework provides promising results for ITO decisions. This study revealed that a lack of strategic and fundamental objectives is a critical issue in making ITO decisions. Although the VFT methodology is subjective in nature, it promotes a better understanding of goals and values, and FITradeoff allows the decision-maker to make comparisons of consequences based on his/her preferences.Research limitations/implicationsThe recommendations of the study are restricted to the case study and cannot be generalized. In addition, applying the method requires attention in determining the criteria used for outsourcing IT.Practical implicationsThe strategic analysis of ITO provides a holistic view of the current situation since (i) the VFT methodology enables the IT manager to generate new alternatives to assist future decisions and (ii) FITradeoff has been demonstrated as a suitable option to evaluate ITO decisions.Originality/valueTo the best of our knowledge, this is the first paper to utilize a problem structuring method (VFT) to identify criteria and alternatives based on the organizational values and objectives. This is integrated with a multicriteria method that uses partial information and may consequently lead to fewer inconsistencies (FITradeoff) in the context of ITO.

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hilali, Wail El, Abdellah El manouar, and Mohammed Abdou Janati Idrissi. "AHP Method to Support Decision Making for Sustainability." Computer and Information Science 13, no. 4 (October 27, 2020): 32. http://dx.doi.org/10.5539/cis.v13n4p32.

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In these challenging times, finding a way to sustain the created value becomes a must. The fierce competition, the risk of disruption, the rise of customer awareness and the scarcity of resources, all these are few of many drivers that push companies to invest in sustainability. This paper is an attempt to enrich the literature about this subject. It mainly explores how to use the AHP method, a well-known multicriteria decision making technique, to decide about the right actions to implement, in order to reach sustainability. The paper is a continuity of a previous work that introduced a new framework that explained how companies could sustain their business models through information systems (IS). This approach was applied on a telecom operator, as a case study, to explain well how companies could choose the right actions to implement, in order to reach sustainability.

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Vranić, Petar, Srđan Glišović, and Lazar Velimirović. "Decision Support for Integrated Management of Local-Level Adaptation to Climate Changes: The Case of Serbia." International Journal of Disaster Risk Science 12, no. 4 (May 28, 2021): 479–94. http://dx.doi.org/10.1007/s13753-021-00357-3.

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AbstractProjected climate changes will additionally increase the already significant risk of natural hazard-related disasters in Serbia and the west Balkan region as a whole. Serbia is about to introduce the strategy for climate change adaptation and mitigation. However, a national decision-support system for implementation of the climate change law and strategy is yet to be developed. This study contributes to the implementation of adaptation policies at subnational levels by development of a decision-support model for local-level management of the climate change adaptation process. The study explores the potential for synergetic application of multicriteria decision making analysis and probabilistic reasoning methods by focusing on Bayesian networks, analytical hierarchy processes, and geographic information systems for selection of priority adaptation measures. The study was based on the formation of causal chains, which enable linking management decisions and socioeconomic or biophysical consequences into articulated sequences of conditional relationships. A model was tested in the forestry sector, and it clearly pointed out development of an early warning system and planning of water intake basins as priority adaptation measures. Since the results are shown as a probability distribution for each alternative solutions, the model can assist decision makers with prompt evaluation of various scenarios.

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Chang, Jui-Fang, Chao-Jung Lai, Chia-Nan Wang, Ming-Hsien Hsueh, and Van Thanh Nguyen. "Fuzzy Optimization Model for Decision-Making in Supply Chain Management." Mathematics 9, no. 4 (February 4, 2021): 312. http://dx.doi.org/10.3390/math9040312.

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Choosing a supplier is a complex decision-making process that can reduce the total cost of production inputs and increase profits without increasing the price or sacrificing product quality. However, supplier selection processes usually involve multiple quantitative and qualitative criteria which increase the complexity of the problem and may decrease the accuracy and effectiveness of the process. Such complex decision-making problems can be supported by using multicriteria decision-making (MCDM) models. While there have been multiple MCDM models to support supplier selection processes in different industries and sectors, only a few are developed to support the supplier selection processes in the garment industry, especially under uncertain decision-making environment. This paper presents an integrated mathematical model under a fuzzy environment and applies it to the supplier selection process in the garment industry. In this research, the authors utilize the Buckley extension based fuzzy Analytical Hierarchical Process (FAHP) method in combination with linear normalization based fuzzy Grey Relational Analysis (F-GRA) method to develop a MCDM approach to the supplier selection process under a fuzzy environment. As a result, supplier 08 (SA08) is the optimal supplier. The contribution of this work is to propose an MCDM model for ranking potential suppliers in the garment industry under a fuzzy environment. The proposed approach can also be applied to support complex decision-making processes under a fuzzy environment in different industries.

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Gaigole, Mayur, and Nilay Khere. "Web-Base Group Decision Support System for Information Security Decision Making in Case of Indian E-Government Systems." Advanced Materials Research 403-408 (November 2011): 954–62. http://dx.doi.org/10.4028/www.scientific.net/amr.403-408.954.

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This paper presents a web base multicriteria group decision support system for evaluating information security policy decision making with respect to Indian e-government system. This study first proposes a rational-political group decision-making model which identifies three uncertain factors involved in a group decision-making process: decision maker’s roles in a group reaching a satisfactory solution, preferences for alternatives and judgments for assessment criteria. Based on the model, a linguistic term oriented multi criteria group decision-making method is developed. The method uses general fuzzy number to deal with the three uncertain factors described by linguistic terms and aggregates these factors into a group satisfactory decision that is in a most acceptable degree of the group. Moreover, this study implements the method by developing a web-based group decision support system. This system allows decision makers to participate a group decision-making through the web, and manages the group decision-making process as a whole, from criteria generation, alternative evaluation, opinions interaction to decision aggregation. An information security decision making problem is presented to demonstrate the effectiveness of the approach.

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Ivić, Majda, Jelena Kilić, Katarina Rogulj, and Nikša Jajac. "Decision Support to Sustainable Parking Management—Investment Planning through Parking Fines to Improve Pedestrian Flows." Sustainability 12, no. 22 (November 14, 2020): 9485. http://dx.doi.org/10.3390/su12229485.

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With the urbanization and expansion of cities, which have taken place over recent decades, new demands and problems are emerging, among which is the problem of inadequate transport infrastructure. The number of motor vehicles is growing, while transport infrastructure is not following that growth fast enough. One of the problems that arises is the insufficient number of garages and parking lots, causing an increase in illegal parking on sidewalks, which impedes and endangers pedestrian traffic. This paper proposes a new decision support concept (DSC) for the management of illegally parked cars in urban centers, which offers a method that can contribute to solving this problem and improving the flow of pedestrians on city roads. Due to its complexity, the problem addressed in this research is recognized as a multicriteria one and therefore the proposed model is based on the use of multicriteria analysis methods—more precisely, the Preference Ranking Organization Method for Enrichment Evaluation—PROMETHEE, and the analytic hierarchy process—AHP. The proposed DSC is validated in the city of Split (Croatia), more precisely in the neighborhood of Sućidar, which shows that this methodology is applicable and effective for finding not a temporary but a permanent solution to the problem described.

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Sharifi, Mohammad Ali, and Erasmo Rodriguez. "Design and development of a planning support system for policy formulation in water resources rehabilitation: the case of Alcázar De San Juan District in Aquifer 23, La Mancha, Spain." Journal of Hydroinformatics 4, no. 3 (July 1, 2002): 157–75. http://dx.doi.org/10.2166/hydro.2002.0017.

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To support policy formulation for rehabilitation of the natural environment in the Western Mancha region in Spain, a planning support system was developed and applied. The system is based on a framework developed for planning and decision making, and includes three main components, namely, a water balance model of the groundwater basin, a planning model and an evaluation model. The water balance model, which makes use of GIS and remote sensing, simulates the average yearly recharge of the aquifer system in relation to the land use changes for average meteorological conditions, to help understand the current situation; the planning model, which makes use of mixed integer programming, simulates the reaction of farmers towards the changes in the present subsidy schemes and helps formulate a proper policy instruments; and finally the evaluation model, which makes use of multicriteria decision analysis to support the evaluation of developed policies and selection of attractive scenarios based on the identified criteria and the preferences/opinion of various decision makers.

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Dos Santos Jesus, Liandra, Gislaine Camila Lapasini Leal, Edwin Vladimir Cardoza Galdamez, and Francisco Rodrigues Lima Junior. "Decision-Making Support of Truck Selection: A Systematic Review." DYNA 87, no. 212 (January 1, 2020): 169–78. http://dx.doi.org/10.15446/dyna.v87n212.83668.

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Trucks are attached to many industries in different sectors like an industrial equipment. For this reason, select a truck without consider the best attributes for the company could cause futures problems. Therefore, this article presents a systematic review of studies that approach quantitative and qualitative decision-making support methods and attributes that help on collecting of precision data. Thus, a framework was created to describe the factors and characteristics of studies, like the application types, hybrid models, sources and data validation. As result, 11 articles were selected from 893, published in English. And from the accepted articles valuation, multicriteria methods and a quality tool were found both applicated in decision-making support. Also, all the criteria, sub-criteria and attributes applicated by all the 11 authors in the methods were presented in this article and they were classified in 12 factors to simplify them.

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Baldin de Lacerda, Naylil Liria, João Batista Sarmento dos Santos-Neto, and Carolina Lino Martins. "MCDM Model for Natural Gas Pressure Reducing Station Site Selection." International Journal of Decision Support System Technology 13, no. 1 (January 2021): 67–84. http://dx.doi.org/10.4018/ijdsst.2021010104.

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Considering the increasing scenario of natural gas consumption, it is necessary that all agents in the chain use methods that structure decision-making and problem-solving processes. This paper proposes a multicriteria decision model to solve a site selection problem for a pressure reducing station. A natural gas distribution company was selected to test the model and the preference modeling was conducted through the flexible interactive tradeoff (FITradeoff) approach, according to the preferences of the decision maker (DM). FITradeoff's decision support system was used to assess the alternatives of the model, through the inference of the criteria scale constants. The results proved the robustness of the model and the DM evidenced consistency in its preferences. Also, the FITradeoff method demonstrated to be intuitive to apply, since a smaller effort is required from the DM and this is because the procedure does not require complete information in the scale constants elicitation process.

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Hussain, Hidayat Bin, and William A. Wallace. "An experimental investigation of the interaction between displays and models in multicriteria decision support." Journal of Multi-Criteria Decision Analysis 4, no. 3 (September 1995): 133–59. http://dx.doi.org/10.1002/mcda.4020040302.

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Yachba, Khadidja, Zakaria Bendaoud, and Karim Bouamrane. "Toward a Decision Support System for Regulation in an Urban Transport Network." International Journal of Strategic Information Technology and Applications 9, no. 2 (April 2018): 1–17. http://dx.doi.org/10.4018/ijsita.2018040101.

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In this article, a solution to the problem of perturbation in the urban transport network has been proposed. This solution is based on the multicriteria decision support method, which is an efficient way of identifying appropriate solutions to different perturbations situations. The proposed model should provide synthesis, evaluation and updating of available information in order to facilitate the task of the network monitoring operator. To achieve this objective, the authors propose formal modeling of the perturbation concept through an effective and above all significant decision support system exploiting the diversity of the criteria as well as the decision maker's subjectivity. This modeling makes it possible to capitalize the knowledge available within a checkpoint and to monitor the process. The authors show how, from the information available on the network, the modeling of the process represented by a perturbation makes it possible to enrich the possibilities of evaluation of the state of the network.

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McGill, William L., and Bilal M. Ayyub. "Multicriteria Security System Performance Assessment Using Fuzzy Logic." Journal of Defense Modeling and Simulation: Applications, Methodology, Technology 4, no. 4 (October 2007): 356–76. http://dx.doi.org/10.1177/154851290700400405.

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Modern security problems focus on sensibly allocating resources to decrease the magnitude of potential hazards, decrease the chances of adversary success given an attempt, or minimize loss following a successful attack. The focus of this paper is on developing a simple, yet analytically sound tool that facilitates rapid assessments of security system non-performance in terms of probability of adversary success at the facility or asset level using concepts from fuzzy logic. Beginning with a short overview of how security system performance fits within an overall security risk analysis frame-work, this paper presents the basic concepts of fuzzy systems and applies them to develop a model that approximates the true relationship between defensive capabilities and probability of adversary success. A simple example demonstrating the proposed model to support decision making accompanies this discussion. This paper concludes with a strategy for implementation of the proposed model in an operational setting.

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Tóth, Bence, and György Gávay. "Cluster Analysis of Multicriteria-Classified Wheeled Armored Vehicles." Hadmérnök 14, no. 2 (June 17, 2019): 21–33. http://dx.doi.org/10.32567/hm.2019.2.2.

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Cluster analysis was performed on the data representing the defense of 32 wheeled armored vehicles based on a Multi Criteria Decision Support model. The number of clusters was determined by nonhierarchical clustering, while the vehicles were assigned to a cluster by non‑hierarchical clustering. The number of clusters are either three or eight. For three assumed clusters, the BTR‑type, the equipment designed before and after 2000 were grouped together, while for eight assumed clusters, these groups split into subgroups. Each subgroup consist of vehicles with similar defense, while the distinction between the subgroups could be made on the basis of modernization, the evolution of defense techniques in time.

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Marques, Marlene, Keith M. Reynolds, Susete Marques, Marco Marto, Steve Paplanus, and José G. Borges. "A Participatory and Spatial Multicriteria Decision Approach to Prioritize the Allocation of Ecosystem Services to Management Units." Land 10, no. 7 (July 16, 2021): 747. http://dx.doi.org/10.3390/land10070747.

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Forest management planning can be challenging when allocating multiple ecosystem services (ESs) to management units (MUs), given the potentially conflicting management priorities of actors. We developed a methodology to spatially allocate ESs to MUs, according to the objectives of four interest groups—civil society, forest owners, market agents, and public administration. We applied a Group Multicriteria Spatial Decision Support System approach, combining (a) Multicriteria Decision Analysis to weight the decision models; (b) a focus group and a multicriteria Pareto frontier method to negotiate a consensual solution for seven ESs; and (c) the Ecosystem Management Decision Support (EMDS) system to prioritize the allocation of ESs to MUs. We report findings from an application to a joint collaborative management area (ZIF of Vale do Sousa) in northwestern Portugal. The forest owners selected wood production as the first ES allocation priority, with lower priorities for other ESs. In opposition, the civil society assigned the highest allocation priorities to biodiversity, cork, and carbon stock, with the lowest priority being assigned to wood production. The civil society had the highest mean rank of allocation priority scores. We found significant differences in priority scores between the civil society and the other three groups, highlighting the civil society and market agents as the most discordant groups. We spatially evaluated potential for conflicts among group ESs allocation priorities. The findings suggest that this approach can be helpful to decision makers, increasing the effectiveness of forest management plan implementation.

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Xia, Meimei. "Stochastic Multicriteria Acceptability Analysis Based on Choquet Integral." Journal of Applied Mathematics 2015 (2015): 1–8. http://dx.doi.org/10.1155/2015/315340.

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To reflect the interactions among criteria, Choquet integral is employed to stochastic multicriteria acceptability analysis. Models are first given to roughly identify the best and worst ranking orders of each alternative, based on which the weight information spaces are explored to support some alternative for ranking at some position and calculate the acceptability indices of alternatives. Models are then given to analyze the characters of information spaces, which can describe what kind of information supports alternatives for ranking at some position and can give an analysis about the effect of characters on the decision result. The proposed method considers not only the interactions between two criteria, but also the interactions among three, four, and more criteria. The proposed method can be considered as an extension of the existing ones.

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Garcez, Thalles Vitelli, Helder Tenório Cavalcanti, and Adiel Teixeira de Almeida. "A hybrid decision support model using Grey Relational Analysis and the Additive-Veto Model for solving multicriteria decision-making problems: an approach to supplier selection." Annals of Operations Research 304, no. 1-2 (May 16, 2021): 199–231. http://dx.doi.org/10.1007/s10479-021-04103-2.

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Singh, Sunil Pratap, and Preetvanti Singh. "A hybrid decision support model using axiomatic fuzzy set theory in AHP and TOPSIS for multicriteria route selection." Complex & Intelligent Systems 4, no. 2 (January 25, 2018): 133–43. http://dx.doi.org/10.1007/s40747-018-0067-y.

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Martins, Mateus A., Thalles V. Garcez, Ana Paula H. de Gusmão, Lucimário G. O. Silva, and Jônatas A. de Almeida. "Multicriteria Model Based on FITradeoff Method for Prioritizing Sections of Brazilian Roads by Criticality." Mathematical Problems in Engineering 2020 (December 29, 2020): 1–15. http://dx.doi.org/10.1155/2020/8894402.

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Three of the most important objectives of the Federal Road Police (Patrol) when managing the traffic on federal roads in Brazil are to ensure that there is an efficient movement of traffic under stable conditions and minimal traffic congestion problems that the federal highways are safe and that accidents do not occur. Therefore, multiple matters are relevant for road safety and user security, such as prompt maintenance of these highways, regular monitoring of their state of conservation and their characteristics; controlling the traffic; and preventing and combatting criminal activities on the highways. However, considering the vast network and different conditions of roads, the different types of traffic accidents and their consequences, and different levels of violence on federal roads, it is essential that these roads undergo regular maintenance and regular inspections, are constantly patrolled, and are subject to continuous improvements. Therefore, defining the prioritization and criticality of roads takes on the characteristics of a multicriteria decision, given the multidimensional aspects of the risks inherent in them. Thus, this paper presents a multicriteria decision model for prioritizing road sections, based on their criticality and the risks that users face. The model was applied using the FITradeoff method, due to its flexibility and due to it requiring less cognitive effort from the decision-maker with regard to providing information regarding his/her preferences. A case study was undertaken on a set of the federal roads of the state of Pernambuco (Brazil), covering 22 different sections with different characteristics. As a result, it was possible to rank and identify the most critical sections of a highway. The use of FITradeoff gave support to decision-making on ordering the sections and also let a general analysis of the data be undertaken.

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Nemdili, Amel Kahina, and Djamila Hamdadou. "Modeling of an active multi-agent environment for the design of a multi-criteria group decision support system." Multiagent and Grid Systems 17, no. 1 (April 19, 2021): 83–111. http://dx.doi.org/10.3233/mgs-210344.

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In the present study, the research problem concerns business intelligence, more precisely collaborative decision-making. The authors propose a complete modeling of a multi-agent active environment for the design of a multicriteria group decision support system dedicated to the spatial problem of localization in territory planning. The proposed model is called ActiveGDSS (Active Group Decision Support System) which uses a coupling between a geographic information system and a multi agents system and is endowed by a new negotiation protocol based on the concession allowing reaching to a consensus which satisfies the territorial actors. The main purpose is to integrate the principle of contextual activation in the modeling of the system which makes the environment an active entity. The main advantages of contextual activation are efficiency gain in terms of execution, better flexibility and reuse of agent behaviors.

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Boukhris, Imen, Raouia Ayachi, Zied Elouedi, Sehl Mellouli, and Nahla Ben Amor. "Decision Model for Policy Makers in the Context of Citizens Engagement." Social Science Computer Review 34, no. 6 (August 3, 2016): 740–56. http://dx.doi.org/10.1177/0894439315618882.

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Citizens’ engagement is considered as one of the important dimensions for the development of smart cities since, in the vision of a city of the future (smart city), citizens will be more and more involved in the decision-making process of different issues related to the development of a city. In this context, policy makers face a decision problem where they have to integrate a new dimension, which is the voice of the citizens’ decision. This article proposes a tool based on multicriteria decision making methods to provide decision makers with the best alternative(s) that are based on citizens’ opinions. In order to tackle the potential interdependencies between criteria and also between alternatives in the selection process, we apply a hybrid model integrating the analytical network process and an extended version of technique for order performance by similarity to ideal solution to support group decision-making. The proposed model is applied in the context of participatory budgeting (PB) where citizens decide on the projects in which the money can be invested. This process is complex since it encompasses multiple interdependent criteria that may be conflicting with each other and that are used to take decisions. To illustrate our approach, we will apply the proposed technique for the case study of La Marsa, a city in the north of the capital Tunis (Tunisia) that adopted, since 2014, a PB strategy in which citizens proposed alternatives on how an amount of money can be used to lighten specific streets in the city.

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Ahmed, Mohd, M. N. Qureshi, Javed Mallick, Mohd Abul Hasan, and Mahmoud Hussain. "Decision Support Model for Design of High-Performance Concrete Mixtures Using Two-Phase AHP-TOPSIS Approach." Advances in Civil Engineering 2019 (March 13, 2019): 1–8. http://dx.doi.org/10.1155/2019/1696131.

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Concrete mix design is the science to obtain concrete proportions of cement, water, and aggregate, based on the particular concrete design method and their mix design parameters. However, the suitability of concrete proportion for high-performance concrete depends on resulting mix factors, namely, water, cement, fine aggregate, and coarse aggregate ratios. This paper implements the multicriteria decision-making techniques (MCDM) for ranking concrete mix factors and representative mix design methods. The study presents a framework to identify critical mix factors found from the concrete mix design methods for high-performance concrete using the two-phase AHP and TOPSIS approach. Three methods of concrete mix design, namely, American Concrete Institute (ACI) mix design method, Department of Energy (DOE) method, and Fineness Modulus (FM) method, are considered for ranking mix design methods and the resulting mix factors. Three hierarchy levels, having three criteria and seven subcriteria, and three alternatives are considered. The present research is attempted to provide MCDM framework to rank the concrete mix guidelines for any given environment such as concrete under sulphate and chloride attack and for evolving the performance-based concrete mix design techniques. Sensitivity and validation analysis is also provided to demonstrate the effectiveness of the proposed approach.

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Bortoluzzi, Sandro César, Sandra Rolim Ensslin, Leonardo Ensslin, and Marcos Ottoni De Almeida. "Multicriteria decision aid tool for the operational management of an industry: a constructivist case." Brazilian Journal of Operations & Production Management 14, no. 2 (July 23, 2017): 165. http://dx.doi.org/10.14488/bjopm.2017.v14.n2.a4.

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The objective of this work is to construct a performance evaluation model to provide support to a production director in the management of the productive operations of a furniture industry. In this sense, we sought through the Multicriteria Decision Aid Constructivist Methodology (i) to identify the factors considered important by the production director for evaluating the performance of productive operations, (ii) to measure each criterion of performance evaluation, (iii) to integrate the criteria to allow the evaluation of organizational performance at the tactical and strategic levels and (iv) to develop a process to manage the actions of productive operations improvement.As a research result we have a performance evaluation model for supporting the management of the productive operations. We conclude that the MCDA-C allowed for building the knowledge of the decision-maker on how to identify and measure the critical variables and manage the performance of the productive operations.

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Šarka, Vaidotas, Leonas Ustinovičius, and Edmundas K. Zavadskas. "PROJECT SYNTHESIS USING COMPROMISE-COMPENSATING MODEL IN DECISION SUPPORT SYSTEM IN CONSTRUCTION INDUSTRY/PROJEKTŲ SINTEZĖ NAUDOJANT KOMPROMISO KOMPENSACINIUS MODELIUS STATYBOJE." JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT 5, no. 6 (December 31, 1999): 374–85. http://dx.doi.org/10.3846/13921525.1999.10531492.

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The primary goal for development of project decision support system is to optimise design of rational lifetime processes of a building. An efficient realisation of construction projects requires analysing their constituent parts in close interdependent relationship. This can be reached by applying three methods of project synthesis in computer software “Universal decision support system in construction” with database of various construction project variants. Thus for carrying out a multicriteria synthesis of various projects and selecting the highest quality alternatives, it is necessary: to develop all feasible alternative variations; to develop a system of attributes able to produce a detailed description of the alternatives; to calculate values and significances of the attributes; to develop relation system between alternative variations. On a UniDSS methodological basis, a technological model of the selections of the most efficient construction elements (main walls, foundations, roof, windows, internal walls) of the real project, Polish house near Naugarduko-Kaunas street crossing, using synthesis, with compromise-compensating model, was developed.

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Martins, Carolina Lino, Pascale Zaraté, Adiel Teixeira de Almeida, Jônatas Araújo de Almeida, and Danielle Costa Morais. "Web-Based DSS for Resource Allocation in Higher Education." International Journal of Decision Support System Technology 13, no. 4 (October 2021): 71–93. http://dx.doi.org/10.4018/ijdsst.2021100105.

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The allocation of scarce resources is a complex higher education decision problem, especially when it comes to budget constraints. Therefore, the authors propose a multicriteria web-based decision support system for resource allocation in higher education organizations. To do so, they define an MCDA/M resource allocation model, based on a project portfolio selection problem to set the percentage of the total budget that every alternative should receive. For the web-based DSS, they develop a database model to store and retrieve data, define the user's interface, and they use a web platform to transform the prototype into a web-based system. Also, they run an empirical analysis with an end-user to test the DSS. They show that the system can provide a clear vision of how the resource allocation system works; the mechanism as a whole becomes more transparent to those involved, enabling them to make efficient and reasonable decisions.

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Ali, Sikandar, Niamat Ullah, Muhammad Faisal Abrar, Zhongguo Yang, and Jiwei Huang. "Fuzzy Multicriteria Decision-Making Approach for Measuring the Possibility of Cloud Adoption for Software Testing." Scientific Programming 2020 (April 30, 2020): 1–24. http://dx.doi.org/10.1155/2020/6597316.

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To reduce costs and improve organizational efficiency, the adoption of innovative services such as Cloud services is the current trend in today’s highly competitive global business venture. The aim of the study is to guide the software development organization (SDO) for Cloud-based testing (CBT) adoption. To achieve the aim, this study first explores the determinants and predictors of Cloud adoption for software testing. Grounded on the collected data, this study designs a technology acceptance model using fuzzy multicriteria decision-making (FMCDM) approach. For the stated model development, this study identifies a list of predictors (main criteria) and factors (subcriteria) using systematic literature review (SLR). In the results of SLR, this study identifies seventy subcriteria also known as influential factors (IFs) from a sample of 136 papers. To provide a concise understanding of the facts, this study classifies the identified factors into ten predictors. To verify the SLR results and to rank the factors and predictors, an empirical survey was conducted with ninety-five experts from twenty different countries. The application value in the industrial field and academic achievement of the present study is the development of a general framework incorporating fuzzy set theory for improving MCDM models. The model can be applied to predict organizational Cloud adoption possibility taking various IFs and predictors as assessment criteria. The developed model can be divided into two main parts, ranking and rating. To measure the success or failure contribution of the individual IFs towards successful CBT adoption, the ranking part of the model will be used, while for a complete organizational assessment in order to identify the weak area for possible improvements, the assessment part of the model will be used. Collectively, it can be used as a decision support system to gauge SDO readiness towards successful CBT.

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Journal articles on the topic 'Multicriteria Decision Support model'

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