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Journal articles on the topic 'Bi-Criteria decision making'

Author: Grafiati

Published: 28 September 2024

Last updated: 19 July 2025

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1

Dahong, Tang, and Chen Ting. "Multi-criteria Decision Making Problems with Bi-level Multiagent." IFAC Proceedings Volumes 22, no. 10 (1989): 275–79. http://dx.doi.org/10.1016/s1474-6670(17)53185-7.

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Fazlollahtabar, Hamed, Ermia Aghasi, and Peter Forte. "Bi-Objective Two-Stage Decision-Making Process for Service Marketing." International Journal of Strategic Decision Sciences 3, no. 3 (2012): 24–39. http://dx.doi.org/10.4018/jsds.2012070103.

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The authors propose a bi-objective two-stage decision-making process to help the marketing team of a company to determine which services make more profit. The decision is based on customer satisfaction measures which are related to the different company services. Thus, they constitute a multi-criteria assessment of the company’s performances. The first stage of the authors’ proposed process is to evaluate the services with respect to certain criteria using a stochastic multi-criteria acceptability analysis. Then, a bi-objective mathematical model is utilized to determine which services are mor

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Zhang, Ling, Yan Xu, Chung-Hsing Yeh, Le He, and De-Qun Zhou. "Bi-TOPSIS: A New Multicriteria Decision Making Method for Interrelated Criteria With Bipolar Measurement." IEEE Transactions on Systems, Man, and Cybernetics: Systems 47, no. 12 (2017): 3272–83. http://dx.doi.org/10.1109/tsmc.2016.2573582.

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Malakooti, Behnam. "Double Helix Value Functions, Ordinal/Cardinal Approach, Additive Utility Functions, Multiple Criteria, Decision Paradigm, Process, and Types (Z Theory I)." International Journal of Information Technology & Decision Making 14, no. 06 (2015): 1353–400. http://dx.doi.org/10.1142/s0219622014500412.

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Z Utility Theory refers to a class of nonlinear utility functions for solving Risk and Multiple Criteria Decision-Making problems. Z utility functions are hybrids of additive and nonadditive (nonlinear) functions. This paper addresses the concepts and assessment methods for the additive part of Z-utility functions for multiple criteria problems that satisfy the efficiency (nondominancy) principle. We provide a decision paradigm and guidelines on how to approach, formulate, and solve decision-making problems. We, also, overview the modeling of decision process based on four types of decision-ma

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Huang, Deng Kui, Huan Neng Chiu, Ruey Huei Yeh, and Jen Huei Chang. "A fuzzy multi-criteria decision making approach for solving a bi-objective personnel assignment problem." Computers & Industrial Engineering 56, no. 1 (2009): 1–10. http://dx.doi.org/10.1016/j.cie.2008.03.007.

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Ghazanfari, Mehdi, Saeed Rouhani, and Mostafa Jafari. "A fuzzy TOPSIS model to evaluate the Business Intelligence competencies of Port Community Systems." Polish Maritime Research 21, no. 2 (2014): 86–96. http://dx.doi.org/10.2478/pomr-2014-0023.

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Abstract Evaluation of the Business Intelligence (BI) competencies of port community systems before they are bought and deployed is a vital importance for establishment of a decision-support environment for managers. This study proposes a new model which provides a simple approach to the assessment of the BI competencies of port community systems in organization. This approach helps decision-makers to select an enterprise system with appropriate intelligence requirements to support the managers’ decision-making tasks. Thirtyfour criteria for BI specifications are determined from a thorough rev

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ABO-SINNA, MAHMOUD A., and AZZA H. AMER. "TOPSIS Approach for Solving Bi-Level Non-Linear Fractional MODM Problems." JOURNAL OF ADVANCES IN MATHEMATICS 13, no. 4 (2018): 7353–70. http://dx.doi.org/10.24297/jam.v13i4.6243.

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TOPSIS (technique for order preference similarity to ideal solution) is considered one of the known classical multiple criteria decision making (MCDM) methods to solve bi-level non-linear fractional multi-objective decision making (BL-NFMODM) problems, and in which the objective function at each level is considered nonlinear and maximization type fractional functions. The proposed approach presents the basic terminology of TOPSIS approach and the construction of membership function for the upper level decision variable vectors, the membership functions of the distance functions from the positi

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Araz, Ozgur M., Tim Lant, John W. Fowler, and Megan Jehn. "Simulation modeling for pandemic decision making: A case study with bi-criteria analysis on school closures." Decision Support Systems 55, no. 2 (2013): 564–75. http://dx.doi.org/10.1016/j.dss.2012.10.013.

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Gadomski, Jan, and Lech Kruś. "Objectives of an enterprise. Bi-criteria analysis and negotiation problems." Control and Cybernetics 50, no. 1 (2021): 169–93. http://dx.doi.org/10.2478/candc-2021-0010.

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Abstract A decision-making process is considered for a firm, in which two coexisting groups of interests pursue different goals. An original model based on a non-neoclassical production function is proposed. The function satisfies the conditions formulated by R. Frisch, which makes it possible to investigate firms operating in the environment far from the perfect competition and pursuing goals other than profit maximization. A two-criteria optimization problem is formulated with the two criteria representing the goals of the groups: maximization of profit and maximization of income generated b

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Krivulin, Nikolai. "Algebraic Solution to Constrained Bi-Criteria Decision Problem of Rating Alternatives through Pairwise Comparisons." Mathematics 9, no. 4 (2021): 303. http://dx.doi.org/10.3390/math9040303.

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We consider a decision-making problem to evaluate absolute ratings of alternatives from the results of their pairwise comparisons according to two criteria, subject to constraints on the ratings. We formulate the problem as a bi-objective optimization problem of constrained matrix approximation in the Chebyshev sense in logarithmic scale. The problem is to approximate the pairwise comparison matrices for each criterion simultaneously by a common consistent matrix of unit rank, which determines the vector of ratings. We represent and solve the optimization problem in the framework of tropical (

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Pramanik, Dipika, Samar Chandra Mondal, and Anupam Haldar. "Resilient supplier selection to mitigate uncertainty: soft-computing approach." Journal of Modelling in Management 15, no. 4 (2020): 1339–61. http://dx.doi.org/10.1108/jm2-01-2019-0027.

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Purpose In recent years, determining the effective and suitable supplier in the supply chain management (SCM) has become a key strategic consideration to the success of any manufacturing organization in terms of business intelligence (BI), as many quantitative and qualitative critical factors are measured from big data. In today’s competitive business scenario, the main purpose of this study is to determine suitable and sustainable suppliers during supplier selection process is to reduce the risk of investment along with maximize overall value to the customer and develop closeness and long-ter

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Town, Paul, and Fadi Thabtah. "Data Analytics Tools: A User Perspective." Journal of Information & Knowledge Management 18, no. 01 (2019): 1950002. http://dx.doi.org/10.1142/s0219649219500023.

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Business Intelligence Tools (BI Tools) can be an intelligent way for individuals to undertake data analysis and reporting for guiding decision-making processes. There are many different BI Tools available in the market today, as well as information to assist organisations in evaluating their effectiveness. This paper focusses on two commercially available BI Tools: Tableau and Microsoft Power BI. It aims to determine which BI Tool is better for data analysis and reporting from an end user’s point of view. This paper undertakes an evaluation of both tools and compares which is more suitable for

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Gandhi, Kanika, Kannan Govindan, and P. C. Jha. "Fuzzy bi-criteria decision making approach for supplier selection and distribution network planning in supply chain management." Journal of Information and Optimization Sciences 37, no. 5 (2016): 653–79. http://dx.doi.org/10.1080/02522667.2016.1191184.

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Kuehne, Flora, Linda Sanftenberg, Tobias Dreischulte, and Jochen Gensichen. "Shared Decision Making Enhances Pneumococcal Vaccination Rates in Adult Patients in Outpatient Care." International Journal of Environmental Research and Public Health 17, no. 23 (2020): 9146. http://dx.doi.org/10.3390/ijerph17239146.

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Insufficient vaccination rates against pneumococcal disease are a major problem in primary health care, especially in adult patients. Shared decision-making (SDM) may address major barriers to vaccination. The objective of this review was to assess the impact of SDM on pneumococcal vaccination rates in adult patients. We conducted a systematic literature search in MEDLINE, EMBASE, CENTRAL, PsycINFO, and ERIC. RCTs and cluster RCTs were included, if they aimed to enhance pneumococcal vaccination rates in adult patients and comprised a personal interaction between health care provider (HCP) and

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Asadollahi-Yazdi, Elnaz, Julien Gardan, and Pascal Lafon. "Multi-objective optimization approach in design for additive manufacturing for fused deposition modeling." Rapid Prototyping Journal 25, no. 5 (2019): 875–87. http://dx.doi.org/10.1108/rpj-07-2018-0186.

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Purpose This paper aims to provide a multi-objective optimization problem in design for manufacturing (DFM) approach for fused deposition modeling (FDM). This method considers the manufacturing criteria and constraints during the design by selecting the best manufacturing parameters to guide the designer and manufacturer in fabrication with FDM. Design/methodology/approach Topological optimization and bi-objective optimization problems are suggested to complete the DFM approach for design for additive manufacturing (DFAM) to define a product. Topological optimization allows the shape improveme

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Emmanuel Osamuyimen Eboigbe, Oluwatoyin Ajoke Farayola, Funmilola Olatundun Olatoye, Obiageli Chinwe Nnabugwu, and Chibuike Daraojimba. "BUSINESS INTELLIGENCE TRANSFORMATION THROUGH AI AND DATA ANALYTICS." Engineering Science & Technology Journal 4, no. 5 (2023): 285–307. http://dx.doi.org/10.51594/estj.v4i5.616.

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This paper delves into the transformative role of Artificial Intelligence (AI) and Data Analytics in the realm of Business Intelligence (BI), marking a significant shift in the landscape of business decision-making and strategic planning. The study's purpose was to comprehensively explore the evolution of BI, underscored by the integration of AI and advanced data analytics, and to project the future trajectory of these technologies within the business context. Adopting a systematic literature review as its methodology, the study meticulously analyzed a wide array of scholarly articles and indu

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Jankowski, Marcin, Aleksandra Borsukiewicz, and Kamel Hooman. "Development of Decision-Making Tool and Pareto Set Analysis for Bi-Objective Optimization of an ORC Power Plant." Energies 13, no. 20 (2020): 5280. http://dx.doi.org/10.3390/en13205280.

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Power plants based on organic Rankine cycle (ORC) are known for their capacity in converting low and medium-temperature energy sources to electricity. To find the optimal operating conditions, a designer must evaluate the ORC from different perspectives including thermodynamic performance, technological limits, economic viability, and environmental impact. A popular approach to include different criteria simultaneously is to formulate a bi-objective optimization problem. This type of multi-objective optimization (MOO) allows for finding a set of optimal design points by defining two different

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Javed, Maham, and Waqas Haider Bukhari. "Is History a Useful Guide for Decision Making: A Comparative Study of Decision Making in Bi-Polar and Uni-Polar World in the Context of Suez Crisis and Falkland Island War." Journal of Social & Organizational Matters 2, no. 1 (2023): 11–18. http://dx.doi.org/10.56976/jsom.v2i1.15.

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To develop better understanding of world, history is necessary as it enables us to understand the world in which we live in more precise way. History can proved to be a driving force as well. It can play a very important role in decision making. But it’s not right to totally rely on it as circumstances changes with time. With changing circumstances requirements and criteria also change. New world structure which has emerged in last century is more state and ego centric than ever involved in competition under the umbrella of democracy which seems to be very fascinating but actually it’s leading

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Liu, Jia, and Shuwei Wang. "A method based on TODIM technique for multi-criteria two-sided matching and its application in person-position matching." Journal of Intelligent & Fuzzy Systems 41, no. 1 (2021): 467–80. http://dx.doi.org/10.3233/jifs-202087.

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It is impossible for agents on both sides to achieve complete rationality in the decision-making process of two-sided matching (TSM). The TODIM (an acronym in Portuguese of interactive and multi-criteria decision-making) method considering the psychological behavior of decision-makers is well applied in the multiple criteria decision making (MCDM) problems. The TSM is a MCDM problem. Therefore, in this paper, a method based on TODIM technique is introduced to solve the TSM problem, in which the intuitionistic linguistic numbers are utilized to describe the mutual evaluation between candidates

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Seyfi-Shishavan, Seyed Amin, Fatma Kutlu Gündoğdu, Yaser Donyatalab, Elmira Farrokhizadeh, and Cengiz Kahraman. "A Novel Spherical Fuzzy Bi-Objective Linear Assignment Method and Its Application to Insurance Options Selection." International Journal of Information Technology & Decision Making 20, no. 02 (2021): 521–51. http://dx.doi.org/10.1142/s0219622021500073.

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Spherical fuzzy sets are the latest extension of the ordinary fuzzy sets. The main characteristic of the spherical fuzzy sets is satisfying the condition that the squared sum of the membership, nonmembership, and hesitancy degrees must be at least zero and at most one. In this research, by extending the classical linear assignment method to bi-objective linear assignment and integrating it with cosine similarity measure, we presented a novel beneficial method for solving multiple criteria group decision-making problems in the spherical fuzzy environment. A new concept for weighting the criteri

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Khalilzadeh, Mohammad, Sayyid Ali Banihashemi, and Darko Božanić. "A Step-By-Step Hybrid Approach Based on Multi-Criteria Decision-Making Methods And A Bi-Objective Optimization Model To Project Risk Management." Decision Making: Applications in Management and Engineering 7, no. 1 (2024): 442–72. http://dx.doi.org/10.31181/dmame712024884.

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Project success and achieving project objectives and goals highly depend on effective and thorough risk management implementation. This study provides a comprehensive and practical methodology for project risk management. In this paper, firstly, the risks were collected by analyzing the historical documents and literature. Then, the collected risks were screened using brainstorming and categorized into five groups. Subsequently, a questionnaire was made and the identified risks were validated using the Fuzzy Delphi technique. Also, the relationships between risks were determined using the Inte

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Pourmohammadreza, Nima, and Mohammad Reza Akbari Jokar. "Efficient last-mile logistics with service options: A multi-criteria decision-making and optimization methodology." International Journal of Industrial Engineering Computations 15, no. 2 (2024): 367–86. http://dx.doi.org/10.5267/j.ijiec.2024.2.003.

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The rapid growth of online shopping has intensified the need for cost-effective and efficient delivery systems, posing a significant challenge for businesses worldwide. This study proposes an innovative two-phase methodology that uses a hybrid multi-criteria decision-making (MCDM) approach for efficient last-mile logistics with service options (ELMLSO) such as home delivery, self-pickup, and differently-priced services. This approach aims to streamline last-mile logistics by integrating these service options, resulting in a more comprehensive and effective delivery network that enhances custom

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Mirdda, Habib Ali, Somnath Bera, Masood Ahsan Siddiqui, and Bhoop Singh. "Analysis of bi-variate statistical and multi-criteria decision-making models in landslide susceptibility mapping in lower Mandakini Valley, India." GeoJournal 85, no. 3 (2019): 681–701. http://dx.doi.org/10.1007/s10708-019-09991-3.

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Al-Majali, Bilal H., and Ahmed F. Zobaa. "Analyzing bi-objective optimization Pareto fronts using square shape slope index and NSGA-II: A multi-criteria decision-making approach." Expert Systems with Applications 272 (May 2025): 126765. https://doi.org/10.1016/j.eswa.2025.126765.

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Solano, Maria C., and Juan C. Cruz. "Integrating Analytics in Enterprise Systems: A Systematic Literature Review of Impacts and Innovations." Administrative Sciences 14, no. 7 (2024): 138. http://dx.doi.org/10.3390/admsci14070138.

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Recent advancements in Enterprise Information Systems (EISs) have transitioned from primarily supporting operational and tactical processes to enabling strategic decision-making through integrated analytics. This systematic review critically examines global literature from 2010 to 2023, focusing on the factors influencing the adoption of analytical components in EISs and assessing their impact on strategic decision-making in organizations. Following the PRISMA 2020 guidelines, we meticulously selected and reviewed articles from the Scopus database, employing a robust taxonomy based on the tech

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Yücel, Şebnem, Ferhat Bolukçu, Tevfik Bulut, and Recep Yücel. "Evaluation of OECD Countries in Terms of Better Life Index According to Bulut Index." Bulletin of Economic Theory and Analysis 9, no. 3 (2024): 901–25. http://dx.doi.org/10.25229/beta.1522625.

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Background: The "Better Life Index", first developed by the Organization for Economic Co-operation and Development (OECD) in 2011, includes many criteria from the functioning of public services to environmental wealth, from security services to individual and social well-being. Method: The performances of OECD countries according to the decision criteria that constitute the Better Life Index has been evaluated with Bulut Index (BI) method, which is a multi-criteria decision-making method. Normalized Maximum Values (NMV) method, one of the objective weighting methods, was used to determine weig

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VIRVOU, M., G. A. TSIHRINTZIS, E. ALEPIS, I. O. STATHOPOULOU, and K. KABASSI. "EMOTION RECOGNITION: EMPIRICAL STUDIES TOWARDS THE COMBINATION OF AUDIO-LINGUAL AND VISUAL-FACIAL MODALITIES THROUGH MULTI-ATTRIBUTE DECISION MAKING." International Journal on Artificial Intelligence Tools 21, no. 02 (2012): 1240001. http://dx.doi.org/10.1142/s0218213012400015.

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In this paper, we present and discuss a novel approach for the integration of audio-lingual and visual-facial modalities in a bi-modal user interface for affect recognition. As it is widely acknowledged, two or more modalities of interaction can provide complementary information to each other with respect to affect recognition. However, satisfactory progress has not yet been achieved towards the integration of these modalities, since the problem of combining them effectively is quite complicated. In our research, we combine the two modalities from the perspective of a human observer by employi

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Khan, Sajidul Islam, Md Shihab Rahman, Abdullah Al Mahmud Ashik, Safiul Islam, Md Majedur Rahman, and Emran Hossain. "Big Data and Business Intelligence for Supply Chain Sustainability: Risk Mitigation and Green Optimization in the Digital Era." European Journal of Management, Economics and Business 1, no. 3 (2024): 262–76. https://doi.org/10.59324/ejmeb.2024.1(3).23.

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Big Data and Business Intelligence (BI) taken together have become a powerful instrument for promoting sustainability and risk reduction in modern supply chains. This study investigated how BI tools enhanced operational efficiency and decision-making while simultaneously supporting environmental and financial performance. Four numbers showed the degree and influence of BI use in practical supply chain. Key BI capabilities real-time monitoring (85%), predictive analytics (90%), demand forecasting (80%), and risk identification (75%), provided actionable insights to maximize operations. Companie

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Liu, Xiaoyue, and Dawei Ju. "Hesitant Fuzzy 2-Dimension Linguistic Programming Technique for Multidimensional Analysis of Preference for Multicriteria Group Decision Making." Mathematics 9, no. 24 (2021): 3196. http://dx.doi.org/10.3390/math9243196.

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The hesitant fuzzy 2-dimension linguistic element (HF2DLE) allows decision makers to express the importance or reliability of each term included in a hesitant fuzzy linguistic element as a linguistic term. This paper investigates a programming technique for multidimensional analysis of preference for hesitant fuzzy 2-dimension linguistic multicriteria group decision making. Considering the flexibility of HF2DLEs in expressing hesitant qualitative preference information, we first adopt HF2DLEs to depict both the evaluation values of alternatives and the truth degrees of alternative comparisons.

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Ep Kallel, Mariem Belghith, Sana Bouajaja, and Abdelkarim Elloumi. "Developing a Sales Dashboard with Power BI – A Case Study in a Pharmaceutical Company." Decision Making Advances 2, no. 1 (2024): 142–47. http://dx.doi.org/10.31181/dma21202438.

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A dashboard is a steering tool for data-driven decision-making and a lever for innovation in the pharmaceutical industry. It makes it possible to integrate relevant performance measurement indicators, chosen according to the objectives to be achieved and according to specific criteria. In this context, our work is inscribed, which aims to develop a dashboard for the sales department of a pharmaceutical company. The choice of this tool is motivated by its importance and the strategic challenge it presents for companies today. The implementation of this dashboard will be broken down into four ph

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Hunt, Brian J., Vincent Y. Blouin, and Margaret M. Wiecek. "Modeling Relative Importance of Design Criteria With a Modified Pareto Preference." Journal of Mechanical Design 129, no. 9 (2006): 907–14. http://dx.doi.org/10.1115/1.2747634.

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Engineering design problems are studied within a multicriteria optimization and decision-making framework. A methodology is developed that modifies the traditional Pareto preference to model designer’s preferences reflected in the relative importance of criteria. The intent is to reduce the number of candidate designs to facilitate the selection of a preferred design. The versatility of this preference model allows it to be incorporated into the problem solution process either a priori, a posteriori, or iteratively, each offering different advantages. In the a priori approach, all Pareto effic

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Majd, Seyed Shabahang, Alireza Maleki, Sepideh Basirat, and Amin Golkarfard. "Fermatean Fuzzy TOPSIS Method and Its Application in Ranking Business Intelligence-Based Strategies in Smart City Context." Journal of Operations Intelligence 3, no. 1 (2024): 1–16. http://dx.doi.org/10.31181/jopi31202532.

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With the expansion of smart cities, the use of business intelligence (BI) has emerged as a crucial tool for resource optimization, increasing efficiency, and improving the citizens’ quality of life. BI enables companies to make better strategic decisions by analyzing vast amounts of urban data, helping them remain competitive in the dynamic smart city environment. This study utilizes content analysis and the Fermatean Fuzzy TOPSIS (FF-TOPSIS) method to rank the strategies based on business intelligence in the context of smart city. Initially, relevant criteria were identified through content a

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Liu, Feiran, Jun Liu, and Xuedong Yan. "Solving the Asymmetry Multi-Objective Optimization Problem in PPPs under LPVR Mechanism by Bi-Level Programing." Symmetry 12, no. 10 (2020): 1667. http://dx.doi.org/10.3390/sym12101667.

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Optimizing the cost and benefit allocation among multiple players in a public-private partnership (PPP) project is recognized to be a multi-objective optimization problem (MOP). When the least present value of revenue (LPVR) mechanism is adopted in the competitive procurement of PPPs, the MOP presents asymmetry in objective levels, control variables and action orders. This paper characterizes this asymmetrical MOP in Stackelberg theory and builds a bi-level programing model to solve it in order to support the decision-making activities of both the public and private sectors in negotiation. An

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Sirbiladze, Gia, Bidzina Matsaberidze, Bezhan Ghvaberidze, Bidzina Midodashvili, and David Mikadze. "Fuzzy TOPSIS based selection index in the planning of emergency service facilities locations and goods transportation." Journal of Intelligent & Fuzzy Systems 41, no. 1 (2021): 1949–62. http://dx.doi.org/10.3233/jifs-210636.

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The attributes influencing the decision-making process in planning transportation of goods from selected facilities locations in disaster zones are considered. Experts evaluate each candidate for humanitarian aid distribution centers (HADCs) (service centers) against each uncertainty factor in q-rung orthopair fuzzy sets (q-ROFS). For representation of experts’ knowledge in the input data for planning emergency service facilities locations a q-rung orthopair fuzzy TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) approach is developed. Based on the offered fuzzy TOPSIS ag

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Herdiana, Oding. "Perencanaan Business Intelligence untuk Strategi Pengembangan Produk Unggulan Menggunakan Algoritma Support Vector Machine." Jurnal Informatika 2, no. 2 (2023): 28–34. http://dx.doi.org/10.57094/ji.v2i2.1088.

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The government continues to encourage the government to accelerate Small and Medium Enterprises (SMEs) flagship products to enter the digital market, because the current digitalization of SMEs cannot be ignored, SMEs must be able to change their business to the digital realm. The strategy for developing superior SME products needs to be well planned, because a good and measurable strategy is very important for policy making. Development uses an approach that emphasizes that the driving force of development is commodities that are considered to be superior, both at the domestic, national and in

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Andrade, Renata Machado de, Suhyung Lee, Paul Tae-Woo Lee, Oh Kyoung Kwon, and Hye Min Chung. "Port Efficiency Incorporating Service Measurement Variables by the BiO-MCDEA: Brazilian Case." Sustainability 11, no. 16 (2019): 4340. http://dx.doi.org/10.3390/su11164340.

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Data envelopment analysis (DEA) has many advantages for analyzing the efficiency of decision-making units, as well as drawbacks, such as a lack of discrimination power. This study applied bi-objective multiple-criteria data envelopment analysis (BiO-MCDEA), a programming approach used to overcome the limitations of traditional DEA models, to analyze the efficiency of 20 Brazilian ports with a consideration of six input and one output variables from 2010 to 2016. Two time-related variables were included to reflect current problems faced by Brazilian ports experiencing long wait times. The resul

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Keshaw, Kumar, Kumari Sweety, and Chand Gyan. "Role of Contrast MRI in the Evaluation of Breast Lesions with Histopathological Correlation." International Journal of Pharmaceutical and Clinical Research 16, no. 6 (2024): 2565–69. https://doi.org/10.5281/zenodo.13913492.

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<strong>Background</strong><strong>:</strong> Breast cancer is still the most general cancer among women globally, and effective treatment depends on early detection and precise diagnosis. High sensitivity and specificity in the assessment of breast lesions make contrast-enhanced magnetic resonance imaging (CE-MRI) an indispensable diagnostic tool, especially in cases when results from traditional imaging techniques are unclear. The purpose of this study was to analyse the diagnostic accuracy and clinical utility of CE-MRI in assessing breast lesions, along with a later histological corre

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Homotiuk, Andrii, and Vasyl Mazuryk. "An integrated digital approach to accounting and analytical support of enterprise investment activity considering ESG priorities." Economic Analysis, no. 35(1) (2025): 365–82. https://doi.org/10.35774/econa2025.01.365.

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Introduction. Under the current conditions of globalization and digital transformation of enterprises, accounting and analytical support plays a crucial role in making informed investment decisions. The implementation of digital technologies such as ERP systems, Big Data analytics, Business Intelligence (BI), and Artificial Intelligence (AI) enables the automation of accounting and analysis processes, thereby enhancing forecasting accuracy and improving the efficiency of investment management. Purpose. The purpose of the study is to generalize modern approaches to accounting and analytical sup

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Liu, Feng, Jian-Jun Wang, Haozhe Chen, and De-Li Yang. "Machine scheduling with outsourcing." International Journal of Logistics Management 25, no. 1 (2014): 133–59. http://dx.doi.org/10.1108/ijlm-12-2012-0142.

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Purpose – The purpose of this paper is to study the use of outsourcing as a mechanism to cope with supply chain uncertainty, more specifically, how to deal with sudden arrival of higher priority jobs that require immediate processing, in an in-house manufacturer's facility from the perspective of outsourcing. An operational level schedule of production and distribution of outsourced jobs to the manufacturer's facility should be determined for the subcontractor in order to achieve overall optimality. Design/methodology/approach – The problem is of bi-criteria in that both the transportation cos

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Salehizadeh, Mohammad Reza, Mahdi Amidi Koohbijari, Hassan Nouri, Akın Taşcıkaraoğlu, Ozan Erdinç, and João P. S. Catalão. "Bi-Objective Optimization Model for Optimal Placement of Thyristor-Controlled Series Compensator Devices." Energies 12, no. 13 (2019): 2601. http://dx.doi.org/10.3390/en12132601.

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Exposure to extreme weather conditions increases power systems’ vulnerability in front of high impact, low probability contingency occurrence. In the post-restructuring years, due to the increasing demand for energy, competition between electricity market players and increasing penetration of renewable resources, the provision of effective resiliency-based approaches has received more attention. In this paper, as the major contribution to current literature, a novel approach is proposed for resiliency improvement in a way that enables power system planners to manage several resilience metrics

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Jayakrishnan, Mailasan, Abdul Karim Mohamad, and Mokhtar Mohd Yusof. "Developing railway supplier selection excellence using business intelligence knowledge management framework." International Review of Applied Sciences and Engineering 12, no. 3 (2021): 257–68. http://dx.doi.org/10.1556/1848.2021.00267.

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AbstractIn a broad scope, the term Information System (IS) is a scientific field of research study that approaches the scope of managerial, strategic, and operational activities complex in the storing, processing, distributing, gathering, and utilizing of knowledge and its associated technologies in organizations and industry. The model of railway supplier selection using BI-KM framework is situated on a horizontal structure of the organization and its technology transformation to execute the organization goal, with technology as enabler and driver (technology adoption), organization as the pr

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Kurniawan, Fachrul, Sarina Sulaiman, Siaka Konate, and Modawy Adam Ali Abdalla. "Deep learning approaches for MIMO time-series analysis." International Journal of Advances in Intelligent Informatics 9, no. 2 (2023): 286. http://dx.doi.org/10.26555/ijain.v9i2.1092.

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This study presents a comparative analysis of various deep learning (DL) methods for multi-input and multi-output (MIMO) time-series forecasting of stock prices. The analysis is conducted on a dataset comprising the stock price of Bitcoin. The dataset consists of 2950 rows from December 2017 to December 2021. This study aims to evaluate the performance of multiple DL methods, including Multilayer Perceptron (MLP), Convolutional Neural Network (CNN), Recurrent Neural Network (RNN), Long Short Term Memory (LSTM), Bidirectional LSTM (Bi-LSTM), and Gated Recurrent Unit (GRU). The evaluation criter

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Zhou, Wenkun, and Yitao Gu. "Green Supplier Evaluation and Selection Based on Bi-Directional Shapley Choquet Integral in Interval Intuitive Fuzzy Environment." Sustainability 17, no. 7 (2025): 3136. https://doi.org/10.3390/su17073136.

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The evaluation and selection of green suppliers is an important way for enterprises to maintain sustainable development and help them reduce costs and increase efficiency. This paper proposes a multi-criteria decision-making (MCDM) model in an interval intuitive fuzzy environment. This model uses interval-valued intuitive uncertainty language number (IVIULN) to describe expert evaluation of qualitative indices. Expert weights are determined through expert social networks, and an improved aggregation operator is proposed to aggregate the evaluation information. The proposed operator can ensure

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Zhang, Wenying, Xifu Wang, and Kai Yang. "Incentive Contract Design for the Water-Rail-Road Intermodal Transportation with Travel Time Uncertainty: A Stackelberg Game Approach." Entropy 21, no. 2 (2019): 161. http://dx.doi.org/10.3390/e21020161.

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In the management of intermodal transportation, incentive contract design problem has significant impacts on the benefit of a multimodal transport operator (MTO). In this paper, we analyze a typical water-rail-road (WRR) intermodal transportation that is composed of three serial transportation stages: water, rail and road. In particular, the entire transportation process is planned, organized, and funded by an MTO that outsources the transportation task at each stage to independent carriers (subcontracts). Due to the variability of transportation conditions, the travel time of each transportat

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Afanador Franco, Fernando, Maria P. Molina Jiménez, Lady T. Pusquin Ospina, et al. "Coastal Marine Planning: Vision of the Maritime Authority. Case of the Department of Bolivar, Colombia." Revista Costas 6, Vol Esp. 2 (2021): 137–64. http://dx.doi.org/10.26359/costas.e0721.

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Marine Spatial Planning is a tool that has acquired significant importance worldwide. Around 70 countries have implemented this initiative given the increased activity within the maritime sector and pressure on marine resources. The methods used are adapted to each country’s characteristics and articulated with other management processes. Although Colombia has progressed through on the processes regarding this issue, through different agencies, marine spatial planning related to maritime activities is absent. Therefore, the General Maritime Directorate (DIMAR in Spanish) through its commitment

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Usman, Muhammad, and Georg Frey. "Multi-Objective Techno-Economic Optimization of Design Parameters for Residential Buildings in Different Climate Zones." Sustainability 14, no. 1 (2021): 65. http://dx.doi.org/10.3390/su14010065.

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The comprehensive approach for a building envelope design involves building performance simulations, which are time-consuming and require knowledge of complicated processes. In addition, climate variation makes the selection of these parameters more complex. The paper aims to establish guidelines for determining a single-family household’s unique optimal passive design in various climate zones worldwide. For this purpose, a bi-objective optimization is performed for twenty-four locations in twenty climates by coupling TRNSYS and a non-dominated sorting genetic algorithm (NSGA-III) using the Py

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Maniah, Khalid, Islam Nour, Atif Hanif, et al. "Application of the Human Viral Surrogate Pepper Mild Mottle Virus for Wastewater Fecal Pollution Management." Water 14, no. 24 (2022): 4033. http://dx.doi.org/10.3390/w14244033.

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Global water scarcity has led to significant dependence on reclaimed or recycled water for potable uses. Effluents arising from human and animal gut microbiomes highly influence water quality. Wastewater pollution is, therefore, frequently monitored using bacterial indicators (BI). However, threats to public health arise from the frequent incidence of wastewater-mediated viral infections–undetected by BI. Moreover, the enteric viromes contaminating wastewater are characterized by high abundance, genetic diversity and persistence in various water environments. Furthermore, humans usually suffer

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Adambekova, A. A., M. M. Mukan, B. U. Turebekova, and R. A. Salimbayeva. "Regional resource provision map: methodology and key approaches." Bulletin of "Turan" University, no. 2 (June 30, 2024): 124–38. http://dx.doi.org/10.46914/1562-2959-2024-1-2-124-138.

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The achievement of sustainable development goals with the help of the implementation of a systematic approach to managing the resource potential of regions through sustainable development goals is one of the actual objectives in regional management. Mapping is known as an approach, which allows combining several data sources with different scaling. This study aims to develop regional resource provision map for creating sustainable development conditions. Multidisciplinary research is a valuable source of this research that allows to unit ESG criteria and their regional commitment through carto

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Chupryna, Iu, R. Tormosov, and K. Predun. "Designing an effective eco-economic integration mechanism for sectoral projects within a diversified investment program." Ways to Improve Construction Efficiency 3, no. 52 (2023): 283–302. https://doi.org/10.32347/2707-501x.2023.52(3).283-302.

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This article addresses the development of an effective mechanism for eco-economic integration of sectoral projects into a diversified investment program. The focus is placed on the necessity of combining environmental responsibility with economic feasibility in forming an investment portfolio under conditions of dynamic changes in resource availability, regulatory frameworks, and global sustainable development challenges. In the context of decentralization, digitalization of governance, and the energy transition, the role of environmentally oriented approaches to structuring investment program

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Lanino, Luca, Somedeb Ball, Jan Philipp Bewersdorf, et al. "Data-Driven Harmonization of 2022 Who and ICC Classifications of Myelodysplastic Syndromes/Neoplasms (MDS): A Study By the International Consortium for MDS (icMDS)." Blood 142, Supplement 1 (2023): 998. http://dx.doi.org/10.1182/blood-2023-186580.

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Background. The inclusion of gene mutations and chromosomal abnormalities in the 2022 WHO and ICC Classifications of MDS has enhanced diagnostic precision and is expected to improve clinical decision-making process. Although these two systems share similarities, clinically relevant discrepancies still exist and potentially cause inconsistency in their adoption in a clinical setting. In this study on behalf of the International Consortium for MDS (icMDS), we adopted a data-driven approach to provide a harmonization roadmap between the 2022 WHO and ICC classification for MDS. A modified Delphi P

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