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Relevant bibliographies by topics / Optimization of fuzzy criteria

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Academic literature on the topic 'Optimization of fuzzy criteria'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

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Journal articles on the topic "Optimization of fuzzy criteria"

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Raskin, L., O. Sira, and D. Sagaydachny. "Multi-criteria optimization in terms of fuzzy criteria definitions." Mathematical Modeling and Computing 5, no. 2 (2018): 207–20. http://dx.doi.org/10.23939/mmc2018.02.207.

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Ghosh, Debdas. "On identifying fuzzy knees in fuzzy multi-criteria optimization problems." SeMA Journal 76, no. 2 (2018): 343–64. http://dx.doi.org/10.1007/s40324-018-0179-8.

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Yano, Hitoshi, and Masatoshi Sakawa. "Interactive Multiobjective Fuzzy Random Linear Programming through Fractile Criteria." Advances in Fuzzy Systems 2012 (2012): 1–9. http://dx.doi.org/10.1155/2012/521080.

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We propose an interactive fuzzy decision making method for multiobjective fuzzy random linear programming problems through fractile criteria optimization. In the proposed method, it is assumed that the decision maker has fuzzy goals for not only objective functions but also permissible probability levels in a fractile optimization model, and such fuzzy goals are quantified by eliciting the corresponding membership functions. Using the fuzzy decision, such two kinds of membership functions are integrated. In the integrated membership space, the satisfactory solution is obtained from among an ex

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Zhang, Libin, Lele Zhang, and Hongying Shan. "Evaluation of equipment maintenance quality: A hybrid multi-criteria decision-making approach." Advances in Mechanical Engineering 11, no. 3 (2019): 168781401983601. http://dx.doi.org/10.1177/1687814019836013.

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Maintenance plays a crucial role in the entire life cycle of equipment. With the acceleration of industrialization, the evaluation of equipment maintenance quality has undoubtedly become more challenging due to the complex mechanical structure, various maintenance modes, and so on. In order to make decisions scientifically, a hybrid multi-criteria decision-making approach integrating triangle fuzzy number, λ-fuzzy measure, TOPSIS, and Choquet fuzzy integral is proposed in this article. First, the interaction among criteria can be handled reasonably by fuzzy integral based on λ-fuzzy-measure. S

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Yang, Fan, Su Wu, Tilo Pfeifer, and Klaus Hense. "Optimization of multi-criteria experiments with fuzzy results." Tsinghua Science and Technology 11, no. 6 (2006): 686–92. http://dx.doi.org/10.1016/s1007-0214(06)70251-6.

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Slany, Wolfgang. "Scheduling as a fuzzy multiple criteria optimization problem." Fuzzy Sets and Systems 78, no. 2 (1996): 197–222. http://dx.doi.org/10.1016/0165-0114(95)00168-9.

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Duminică, Despina, Iulian Dutu, Mihai Avram, and Viorel Gheorghe. "Fuzzy Multiobjective Optimization Used in Tolerance Synthesis of Mechanisms." Applied Mechanics and Materials 332 (July 2013): 235–40. http://dx.doi.org/10.4028/www.scientific.net/amm.332.235.

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Fuzzy objective multioptimization describes performance criteria and constraints in terms of fuzzy membership functions. The membership function of the decision is obtained as conjunction of performance criteria and constraints. A method of allocating tolerance intervals using fuzzy multiobjective optimization is presented for the case of a 3R manipulator. The proposed method is validated through Monte Carlo simulation.

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Tadic, Danijela. "Fuzzy multi-criteria approach to ordering policy ranking in a supply chain." Yugoslav Journal of Operations Research 15, no. 2 (2005): 243–58. http://dx.doi.org/10.2298/yjor0502243t.

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In this paper, a new fuzzy multi-criteria mathematical model for the selection of the best among a finite number of ordering policy of raw material in a supply chain is developed. The problem treated is a part of the purchasing plan of a company in an uncertain environment and it is very common in business practice. Optimization criteria selected describe the performance measures of ordering policies and generally their relative importance is different. It is assumed that the values of the optimization criteria are vague and imprecise. They are described by discrete fuzzy numbers and by lingui

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Matviienko, Olha, and Oleksandr Miroshnichenko. "Devising a method for solving a multi-criteria shortest path problem with fuzzy initial data." Eastern-European Journal of Enterprise Technologies 1, no. 3 (133) (2025): 48–56. https://doi.org/10.15587/1729-4061.2025.322991.

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The object of this study is the optimization of road freight transportation routes under conditions of martial law or emergencies. The paper addresses the task of building a model and devising a method for solving the multi-criteria shortest path problem, taking into account the uncertainty of input data and the multiplicity of optimization criteria. The input data consists of communication lengths, their safety level, and road surface quality, which are represented by elements of fuzzy sets with corresponding membership functions, as well as a road network graph. The introduction of a system

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Maeda, Takashi. "Fuzzy linear programming problems as bi-criteria optimization problems." Applied Mathematics and Computation 120, no. 1-3 (2001): 109–21. http://dx.doi.org/10.1016/s0096-3003(99)00237-4.

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Dissertations / Theses on the topic "Optimization of fuzzy criteria"

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Tahvili, Sahar. "Solving complex maintenance planning optimization problems using stochastic simulation and multi-criteria fuzzy decision making." Thesis, SICS, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:ri:diva-24416.

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Medeiros, Anderson Vinicius de. "Modelagem de sistemas dinamicos não lineares utilizando sistemas fuzzy, algoritmos geneticos e funções de base ortonormal." [s.n.], 2006. http://repositorio.unicamp.br/jspui/handle/REPOSIP/261859.

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Orientadores: Wagner Caradori do Amaral, Ricardo Jose Gabrielli Barreto Campello<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Eletrica e de Computação<br>Made available in DSpace on 2018-08-06T08:36:39Z (GMT). No. of bitstreams: 1 Medeiros_AndersonViniciusde_M.pdf: 896535 bytes, checksum: 48d0d75d38fcbbd0f47f7c49823806f1 (MD5) Previous issue date: 2006<br>Resumo: Esta dissertação apresenta uma metodologia para a geração e otimização de modelos fuzzy Takagi-Sugeno (TS) com Funções de Base Ortonormal (FBO) para sistemas dinâmicos não lineares utilizand

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Ruziyeva, Alina. "Fuzzy Bilevel Optimization." Doctoral thesis, Technische Universitaet Bergakademie Freiberg Universitaetsbibliothek "Georgius Agricola", 2013. http://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa-106378.

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In the dissertation the solution approaches for different fuzzy optimization problems are presented. The single-level optimization problem with fuzzy objective is solved by its reformulation into a biobjective optimization problem. A special attention is given to the computation of the membership function of the fuzzy solution of the fuzzy optimization problem in the linear case. Necessary and sufficient optimality conditions of the the convex nonlinear fuzzy optimization problem are derived in differentiable and nondifferentiable cases. A fuzzy optimization problem with both fuzzy objectives

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Лечаченко, Тарас Анатолійович. "Моделі та методи підтримки прийняття рішень в інформаційних процесах дуальної освіти". Diss., Тернопільський національний технічний університет ім. Івана Пулюя, 2021. http://elartu.tntu.edu.ua/handle/lib/36699.

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Дисертація присвячена вирішенню актуального наукового завдання – розробленню моделей та методів підтримки прийняття рішень в інформаційних процесах дуальної освіти.<br>The thesis is devoted to the solution of an important scientific problem concerning the development of models and methods for decision making support in informational processes of dual education.

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Castro, Carlos. "Multiple criteria optimization in injection molding." Connect to this title online, 2004. http://hdl.handle.net/1811/322.

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Thesis (Honors)--Ohio State University, 2004.<br>Title from first page of PDF file. Document formattted into pages: contains vi, 49 p.; also includes graphics. Includes bibliographical references (p. 46). Available online via Ohio State University's Knowledge Bank.

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Singh, Vijay K. "Equitable efficiency in multiple criteria optimization." Connect to this title online, 2007. http://etd.lib.clemson.edu/documents/1181669435/.

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Dody, Thibault Alexandre. "Damping optimization using transfer function criteria." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/82709.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2013.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (p. 84-85).<br>Seismic performance has become a key point in the design of every type of structures. Even the simplest buildings need protection in areas of high seismic activity.However,there is no method defined!by codes or general knowledge

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Tada, Minoru. "STUDIES ON FUZZY COMBINATORIAL OPTIMIZATION." Kyoto University, 1994. http://hdl.handle.net/2433/160752.

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本文データは平成22年度国立国会図書館の学位論文(博士)のデジタル化実施により作成された画像ファイルを基にpdf変換したものである<br>Kyoto University (京都大学)<br>0048<br>新制・論文博士<br>博士(工学)<br>乙第8724号<br>論工博第2927号<br>新制||工||976(附属図書館)<br>UT51-94-Z475<br>(主査)教授茨木俊秀, 教授長谷川利治, 教授片山徹<br>学位規則第4条第2項該当

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Pissarides, Savvas. "Interactive multiple criteria optimization for capital budgeting." Thesis, University of Ottawa (Canada), 1992. http://hdl.handle.net/10393/7723.

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This thesis presents a capital budgeting problem faced by a major telecommunications company. The purpose of this thesis is to address the capital budgeting problem in order to establish a framework for the measurement and evaluation of alternative capital allocation decisions which are compatible with the mission of the company. The solution method follows three major avenues of optimization: multiple criteria, multiple constraints and interactivity. The problem is solved using the Analytic Hierarchy Process to obtain an initial solution which is then improved by an interactive method allowin

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Kudikala, Rajesh. "System architecture design using multi-criteria optimization." Thesis, University of Sheffield, 2015. http://etheses.whiterose.ac.uk/9703/.

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System architecture is defined as the description of a complex system in terms of its functional requirements, physical elements and their interrelationships. Designing a complex system architecture can be a difficult task involving multi-faceted trade-off decisions. The system architecture designs often have many project-specific goals involving mix of quantitative and qualitative criteria and a large design trade space. Several tools and methods have been developed to support the system architecture design process in the last few decades. However, many conventional problem solving techniques

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Books on the topic "Optimization of fuzzy criteria"

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Pardalos, P. M. Fuzzy Multi-Criteria Decision Making: Theory and Applications with Recent Developments. Springer Science+Business Media, LLC, 2008.

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Lodwick, Weldon A., and Janusz Kacprzyk, eds. Fuzzy Optimization. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13935-2.

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Wang, Shuming, and Junzo Watada. Fuzzy Stochastic Optimization. Springer US, 2012. http://dx.doi.org/10.1007/978-1-4419-9560-5.

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Fedrizzi, Mario, Janusz Kacprzyk, and Marc Roubens, eds. Interactive Fuzzy Optimization. Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-45700-5.

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Gupta, Pankaj, Mukesh Kumar Mehlawat, Masahiro Inuiguchi, and Suresh Chandra. Fuzzy Portfolio Optimization. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-54652-5.

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Fang, Yong, Kin Keung Lai, and Shouyang Wang. Fuzzy Portfolio Optimization. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-77926-1.

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Fedrizzi, Mario. Interactive Fuzzy Optimization. Springer Berlin Heidelberg, 1991.

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1949-, Fedrizzi Mario, Kacprzyk Janusz, and Roubens Marc, eds. Interactive fuzzy optimization. Springer-Verlag, 1991.

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Kahraman, Cengiz, ed. Fuzzy Multi-Criteria Decision Making. Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-76813-7.

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Sakawa, Masatoshi. Fuzzy Sets and Interactive Multiobjective Optimization. Springer US, 1993. http://dx.doi.org/10.1007/978-1-4899-1633-4.

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Book chapters on the topic "Optimization of fuzzy criteria"

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Gupta, Pankaj, Mukesh Kumar Mehlawat, Masahiro Inuiguchi, and Suresh Chandra. "Multi-criteria Fuzzy Portfolio Optimization." In Fuzzy Portfolio Optimization. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-54652-5_6.

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Ogryczak, Włodzimierz, and Tomasz Śliwiński. "On Solving Optimization Problems with Ordered Average Criteria and Constraints." In Fuzzy Optimization. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13935-2_10.

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Triantaphyllou, Evangelos. "Fuzzy Multi-Criteria Decision Making." In Applied Optimization. Springer US, 2000. http://dx.doi.org/10.1007/978-1-4757-3157-6_13.

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Carlsson, Christer. "On Optimization with Interdependent Multiple Criteria." In Fuzzy Logic. Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-2014-2_27.

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Gupta, Pankaj, Mukesh Kumar Mehlawat, Masahiro Inuiguchi, and Suresh Chandra. "Ethicality Considerations in Multi-criteria Fuzzy Portfolio Optimization." In Fuzzy Portfolio Optimization. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-54652-5_9.

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Gupta, Pankaj, Mukesh Kumar Mehlawat, Masahiro Inuiguchi, and Suresh Chandra. "Suitability Considerations in Multi-criteria Fuzzy Portfolio Optimization-I." In Fuzzy Portfolio Optimization. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-54652-5_7.

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Gupta, Pankaj, Mukesh Kumar Mehlawat, Masahiro Inuiguchi, and Suresh Chandra. "Suitability Considerations in Multi-criteria Fuzzy Portfolio Optimization-II." In Fuzzy Portfolio Optimization. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-54652-5_8.

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Inuiguchi, Masahiro, Kosuke Kato, and Hideki Katagiri. "Fuzzy Multi-Criteria Optimization: Possibilistic and Fuzzy/Stochastic Approaches." In Multiple Criteria Decision Analysis. Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-3094-4_20.

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Gupta, Pankaj, Mukesh Kumar Mehlawat, Masahiro Inuiguchi, and Suresh Chandra. "Multi-criteria Portfolio Optimization Using Support Vector Machines and Genetic Algorithms." In Fuzzy Portfolio Optimization. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-54652-5_10.

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Ramík, Jaroslav, and Milan Vlach. "Fuzzy Multi-Criteria Decision Making." In Generalized Concavity in Fuzzy Optimization and Decision Analysis. Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-1485-5_7.

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Conference papers on the topic "Optimization of fuzzy criteria"

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Cimitile, Marta, Matteo Gaeta, and Vincenzo Loia. "An ontological multi-criteria optimization system for Workforce Management." In 2012 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2012. http://dx.doi.org/10.1109/fuzz-ieee.2012.6251158.

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Alolyan, Ibraheem. "Interval linear optimization problems with fuzzy inequality constraints." In 2014 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM). IEEE, 2014. http://dx.doi.org/10.1109/mcdm.2014.7007197.

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Bahri, Oumayma, Nahla Ben Amor, and Talbi El-Ghazali. "Optimization algorithms for multi-objective problems with fuzzy data." In 2014 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM). IEEE, 2014. http://dx.doi.org/10.1109/mcdm.2014.7007207.

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Ghosh, Debdas, and Debjani Chakraborty. "Fuzzy ideal cone: A method to obtain complete fuzzy non-dominated set of fuzzy multi-criteria optimization problems with fuzzy parameters." In 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2013. http://dx.doi.org/10.1109/fuzz-ieee.2013.6622354.

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Hashemnia, Saeed, and Mohammad T. Ahmadian. "Different Optimization Criteria for Vehicle Seat Suspension Control: Position Versus Acceleration." In ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-86732.

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This paper addresses the effect of different optimization criteria for the control purpose of vehicle suspension. In the present study, active vibration control system for a 5 degree-of-freedom (DoF) pitch-plane suspension model with bounce and pitch motions is investigated. In the proposed vehicle model, the impact of the wheel-axle-brake assemblies’ masses is also considered. The developed model is controlled using a fuzzy logic controller (FLC) to minimize the vibration of the driver’s seat. The controller is designed to control the applied force to the seat. Furthermore, in order to determ

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Nojima, Yusuke, and Hisao Ishibuchi. "Interactive genetic fuzzy rule selection through evolutionary multiobjective optimization with user preference." In 2009 IEEE Symposium on Computational Intelligence in Milti-Criteria Decision-Making (MCDM). IEEE, 2009. http://dx.doi.org/10.1109/mcdm.2009.4938841.

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Matsui, Takeshi, Masatoshi Sakawa, Kosuke Kato, Takeshi Uno, and Koichi Tamada. "An interactive fuzzy satisficing method through particle swarm optimization for multiobjective nonlinear programming problems." In 2007 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making. IEEE, 2007. http://dx.doi.org/10.1109/mcdm.2007.369419.

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Хохрякова, Юлия Владимировна. "DECISION MAKING IN MULTI-CRITERIA OPTIMIZATION WITH ELEMENTS OF FUZZY LOGIC." In Технические и естественные науки: сборник избранных статей по материалам Международной научной конференции (Санкт-Петербург, Апрель 2021). Crossref, 2021. http://dx.doi.org/10.37539/tns296.2021.17.20.009.

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В данной статье рассматривается задача многокритериальной оптимизации, в которой необходимо максимизировать набор параметров, в условиях неопределенности, размытости начальных условий и значений целевых функций. This article deals with the problem of multi-criteria optimization, in which it is necessary to maximize the set of parameters in the conditions of uncertainty, a blurring of the initial conditions and the values of the objective functions.

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Putra Perdana, Muhammad Yoma, Arini, Andrew Fiade, and Iik Muhamad Malik Matin. "Fuzzy Multi-Criteria Decision Making for Optimization of Housing Construction Financing." In 2021 Sixth International Conference on Informatics and Computing (ICIC). IEEE, 2021. http://dx.doi.org/10.1109/icic54025.2021.9632934.

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Hoang, Dao Minh, Tran Van Xuan, and Tran Ngoc Thang. "A Multi-criteria Fuzzy Random Crop Planning Problem using Evolutionary Optimization." In The Sixth International Conference on Research in Intelligent and Computing. PTI, 2022. http://dx.doi.org/10.15439/2021r02.

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Reports on the topic "Optimization of fuzzy criteria"

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Smith, James F., Rhyne III, and II Robert D. Fuzzy Logic Resource Management and Coevolutionary Game-based Optimization. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada390559.

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Dimitrov, Evgeni, Hayden Schaeffer, David Wen, Sandra Rankovic, Kizza Nandyose, and Olivier Thonnard. The Construction of a Vague Fuzzy Measure Through L1 Parameter Optimization. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada567409.

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Osipov, G. S. Optimization model of an inverse multi-stage problem with fuzzy matches. КультИнформПресс, 2018. http://dx.doi.org/10.18411/spbcsa-2018-9.

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Li, Yan, Yuhao Luo, and Xin Lu. PHEV Energy Management Optimization Based on Multi-Island Genetic Algorithm. SAE International, 2022. http://dx.doi.org/10.4271/2022-01-0739.

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The plug-in hybrid electric vehicle (PHEV) gradually moves into the mainstream market with its excellent power and energy consumption control, and has become the research target of many researchers. The energy management strategy of plug-in hybrid vehicles is more complicated than conventional gasoline vehicles. Therefore, there are still many problems to be solved in terms of power source distribution and energy saving and emission reduction. This research proposes a new solution and realizes it through simulation optimization, which improves the energy consumption and emission problems of PH

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Engau, A., and M. M. Wiecek. 2D Decision-Making for Multi-Criteria Design Optimization. Defense Technical Information Center, 2006. http://dx.doi.org/10.21236/ada462566.

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Wiecek, Margaret M., Vijay Singh, and Vincent Blouin. Multi-Scenario Multi-Criteria Optimization in Engineering Design. Defense Technical Information Center, 2007. http://dx.doi.org/10.21236/ada462600.

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Pin, Francois G. Multi-optimization Criteria-based Robot Behavioral Adaptability and Motion Planning. Office of Scientific and Technical Information (OSTI), 2002. http://dx.doi.org/10.2172/835385.

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Pin, Francois G. Multi-optimization Criteria-based Robot Behavioral Adaptability and Motion Planning. Office of Scientific and Technical Information (OSTI), 2003. http://dx.doi.org/10.2172/835388.

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Pin, Grancois G. Multi-optimization Criteria-based Robot Behavioral Adaptability and Motion Planning. Office of Scientific and Technical Information (OSTI), 2004. http://dx.doi.org/10.2172/839107.

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Rosocha, L. A., and R. A. Korzekwa. First report on non-thermal plasma reactor scaling criteria and optimization models. Office of Scientific and Technical Information (OSTI), 1998. http://dx.doi.org/10.2172/658275.

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