Bibliografie tematiche / Bi-Criteria decision making

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Letteratura scientifica selezionata sul tema "Bi-Criteria decision making"

Autore: Grafiati

Pubblicato: 28 settembre 2024

Ultima modifica: 31 luglio 2025

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Articoli di riviste sul tema "Bi-Criteria decision making"

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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Più fonti

Tesi sul tema "Bi-Criteria decision making"

Nguyen, Minh Hieu. "Bi-objective optimization with proportional fairness." Electronic Thesis or Diss., Université Clermont Auvergne (2021-...), 2024. http://www.theses.fr/2024UCFA0036.

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L'optimisation combinatoire bi-objectif (BOCO) est un type de prise de décision multicritère avec de nombreuses applications dans différents domaines scientifiques, tels que l'économie, la chaîne d'approvisionnement, les télécommunications, l'informatique et les choix sociaux. Cela implique d'optimiser simultanément deux fonctions objectives (de conflit) dans un ensemble fini et réalisable de vecteurs de décision. Pour BOCO, le concept de solution Pareto-optimale (non dominée) joue un rôle important car il distingue les solutions efficaces et non efficaces. Sur la base de ce concept, les métho

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Jooste, Chrisna. "Guidelines for the usability evaluation of a BI application within a coal mining organization." Diss., 2012. http://hdl.handle.net/10500/13329.

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Business Intelligence (BI) applications are consulted by their users on a daily basis. BI information obtained assist users to make business decisions and allow for a deeper understanding of the business and its driving forces. In a mining environment companies need to derive maximum benefit from BI applications, therefore these applications need to be used optimally. Optimal use depends on various factors including the usability of the product. The documented lack of usability evaluation guidelines provides the rationale for this study. The purpose is to investigate the usability evaluation o

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Capitoli di libri sul tema "Bi-Criteria decision making"

Labreuche, Christophe. "Construction of a Bi-capacity and Its Utility Functions without any Commensurability Assumption in Multi-criteria Decision Making." In Information Processing and Management of Uncertainty in Knowledge-Based Systems. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08795-5_31.

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Vasalakis, Stamatios, and Athanasios Spyridakos. "Resource Management: A Bi-Objective Methodological Approach for Routing in Crisis Situations." In Multiple Criteria Decision Making. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-34892-1_3.

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Zeferino, Emanuel Fernando, Khumbulani Mpofu, Olasumbo Makinde, and Boitumelo Ramatsetse. "Establishment of an Appropriate Data Analytic Platform for Developing a Wisdom Manufacturing System Using Decision Techniques." In Lecture Notes in Mechanical Engineering. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-28839-5_70.

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AbstractIn today’s global business context, data has played a critical role in ensuring accurate and appropriate decision making in manufacturing organisations. Despite the huge pool of information (i.e. data) generated by consumers, repair or maintenance shops, manufacturing job shop, scientific society on various products, which could be deployed by manufacturers in eliciting vital information towards achieving sustainable product design and development, only few manufacturers are making use of this data to generate wisdom required for sustainable manufacturing. This act is caused by lack of

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Ijuin, Hiromasa, Takaki Nagao, Masakuni Tsunezawa, Kohei Sugiyama, Kazuyuki Tasaka, and Tetsuo Yamada. "Designing a Reverse Supply Chain Network for Smartphones with Material-Based GHG Emissions and Costs Using Linear Physical Programming." In Lecture Notes in Mechanical Engineering. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-28839-5_15.

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AbstractCurrently, levels of production and disposal for communication devices such as smartphones are continuing to increase. In the life cycle of a smartphone, the majority of greenhouse gas (GHG) emissions are generated in the material production stage. To recover the GHG emissions from end-of-life (EOL) products such as smartphones, manufacturers have to recycle EOL products. However, smartphones on the market undergo little recycling because costs related to recycling, transportation, and facilities are very high. Therefore, the decision maker (DM) has to design a reverse supply chain net

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Ballestero, Enrique, and Carlos Romero. "A First Linkage: CP and Bi-Attribute Utility." In Multiple Criteria Decision Making and its Applications to Economic Problems. Springer US, 1998. http://dx.doi.org/10.1007/978-1-4757-2827-9_6.

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Aruldoss, Martin, Miranda Lakshmi Travis, and Prasanna Venkatesan Venkatasamy. "Identification of User Preference for Multi-Criteria Reporting in Business Intelligence." In Improving E-Commerce Web Applications Through Business Intelligence Techniques. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-3646-8.ch002.

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Business intelligence (BI) is an integrated set of tools used to support the transformation of data into information in order to support decision making. Among different functionalities, reporting plays a significant role that provides information to its readers to make better decisions. BI lacks user-specific reporting to the different levels of users of an organization. Different users require different kinds of reporting with respect to different requirement (criteria) in an organization. A multi-criteria reporting (MCR) finds the suitable information to suitable user based on the multiple

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Garg, Harish. "Bi-Criteria Optimization for Finding the Optimal Replacement Interval for Maintaining the Performance of the Process Industries." In Handbook of Research on Modern Optimization Algorithms and Applications in Engineering and Economics. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-9644-0.ch025.

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The optimization of the maintenance decision making can be defined as an attempt to resolve the conflicts of decision situation in such a way that variable under the control of the decision maker take their best possible value. One of the most important controllable parameters is the time interval between maintenance. Most of the researchers have kept the fact that whenever the suitable maintenance interval is reached, the system is replaced with the original one. However the improvement of a system life not only depends on the replacement of deteriorated components, but also on the effectiven

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Alepis Efthymios, Virvou Maria, and Kabassi Katerina. "Knowledge Engineering for Affective Bi-Modal Interaction in Mobile Devices." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2008. https://doi.org/10.3233/978-1-58603-900-4-305.

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This paper focuses on knowledge engineering for the development of a system that provides affective interaction in mobile devices. The system bases its inferences about users' emotions on user input evidence from the keyboard and the microphone of the mobile device. For this purpose different experimental studies have been conducted with the participation of mobile users and human experts. The experiments' aim was twofold. They aimed at revealing the criteria that are taken into account in each mode for emotion recognition as well as their weight of importance. The results of the studies are f

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Astor, Ron, and Rami Benbenishty. "Surveys." In Mapping and Monitoring Bullying and Violence. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190847067.003.0012.

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Surveys are an effective way to gather large amounts of information from many respondents. They are flexible and can include a number of topics and subtopics that are selected to focus on the unique aspects of a particular school or district. This flexibility means that questionnaires that address multiple issues can be combined into one survey. There are many good reasons to compose a survey from existing questionnaires and scales. Most existing instruments were developed by experts and tested and improved over the years. Many of them are free, open for anyone to use, and readily available to

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Atti di convegni sul tema "Bi-Criteria decision making"

Prasad, D., T. Patankar, A. Pandey, et al. "AI Fast-Tracking Infill Well Identification Under Uncertainty for a Complex Deep Gas Field and Accelerating Field Development Decision." In APOGCE 2024. SPE, 2024. http://dx.doi.org/10.2118/221271-ms.

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Abstract Objective/Scope R’ field is a tight, deep gas-condensate volatile-oil reservoir, in a geologically complex volcanic depositional setting. Vertical and deviated wells penetrate several zones, multi-stage fractured making it commercially viable. Ramp-up and sustaining production at the planned plateau production rate through intensive development drilling campaigns was a challenge. The primarily transient production profiles and recoveries per well are highly variable and the identification of sweet spots and good quality reservoirs(pay) is fraught with uncertainty. There was an urgency

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Shao, Lizhen, Depeng Zhao, Yinghai Shao, Jiwei Liu, and Li Liu. "Bi-objective support vector machine and its application in microarray classification." In 2014 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM). IEEE, 2014. http://dx.doi.org/10.1109/mcdm.2014.7007203.

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