Search results for "type-2 fuzzy sets"

showing 5 items of 15 documents

An exact algorithm for the fuzzy p-median problem

1999

In this paper we propose a fuzzy version of the classical p-median problem. We consider a fuzzy set of constraints so that the decision-maker will be able to take into account solutions which provide significantly lower costs by leaving a part of the demand uncovered. We propose an algorithm for solving the problem which is based on Hakimi's works and we compare the crisp and the fuzzy approach by means of an example.

Mathematical optimizationInformation Systems and ManagementFuzzy classificationGeneral Computer ScienceFuzzy setManagement Science and Operations ResearchType-2 fuzzy sets and systemsFuzzy logicDefuzzificationIndustrial and Manufacturing EngineeringComputingMethodologies_PATTERNRECOGNITIONFuzzy transportationModeling and SimulationFuzzy set operationsFuzzy numberAlgorithmMathematicsEuropean Journal of Operational Research
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The fuzzy p-median problem: A global analysis of the solutions

2001

Abstract We apply fuzzy techniques to incorporate external data into p-median problems. So we can detect certain solutions that would be discarded by usual crisp and fuzzy algorithms but that contrasted with this additional information can be advantageous. This usually reveals a pathology of the model and hence our methods provide some fuzzy validation criteria for p-median models.

Mathematical optimizationInformation Systems and ManagementFuzzy classificationGeneral Computer ScienceNeuro-fuzzyManagement Science and Operations ResearchType-2 fuzzy sets and systemsDefuzzificationIndustrial and Manufacturing EngineeringFuzzy transportationModeling and SimulationFuzzy mathematicsFuzzy set operationsFuzzy numberMathematicsEuropean Journal of Operational Research
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Marginal analysis for the fuzzy p-median problem

2008

The solutions to the fuzzy p-median problem make it possible to leave part of the demand uncovered in order to obtain significant reductions in costs. Moreover, the fuzzy formulation provides the decision-maker with many flexible solutions that he or she may prefer to the classical crisp solution. We introduce some marginal analysis techniques to study how solutions depend on membership functions. Taking into account the internal structure of the problem, we propose a practical criterion to fix the tolerances for the uncovered demand, which happens to be the most sensitive aspect of the fuzzy p-median.

Mathematical optimizationInformation Systems and ManagementGeneral Computer ScienceStructure (category theory)Management Science and Operations ResearchType-2 fuzzy sets and systemsDefuzzificationFuzzy logicIndustrial and Manufacturing EngineeringFuzzy transportationModeling and SimulationFuzzy set operationsFuzzy numberAlgorithmMembership functionMathematicsEuropean Journal of Operational Research
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F.A.L.C.A.D.E.: a fuzzy software for the energy and environmental balances of products

2004

Abstract It is generally well known that the reliability of Life Cycle Analysis (LCA) studies depends upon exact, complete and sharp input data that, unfortunately, are not always available. Furthermore, when available, the input data are affected by uncertainty whose importance is not always adequately taken into consideration. This paper describes the software F.A.L.C.A.D.E. (Fuzzy Approach to Life Cycle Analysis and Decision Environment): a tool designed for the calculation of the eco-profile of products, based on a fuzzy logic approach. The originality of the method already treated in other papers is to use the fuzzy representation to manage the complex relationships that arise in compi…

business.industryEcological ModelingLinear modelType-2 fuzzy sets and systemscomputer.software_genreDefuzzificationFuzzy logicSet (abstract data type)SoftwareFuzzy numberFuzzy set operationsData miningbusinessAlgorithmcomputerMathematicsEcological Modelling
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Type-2 intuitionistic fuzzy TODIM for intelligent decision-making under uncertainty and hesitancy

2022

AbstractThe classical TODIM considers the crisp numbers to handle the information. However, in a real-world applicative context, this information is bounded by noise and vagueness and hence uncertain. There are wide range of works in the literature which utilizes fuzzy sets to handle the uncertainty in the various dimensions. However, there is a constraint of hesitancy in such decision-making problems due to the involvement of various decision-makers. Also, in the TODIM method, decision-maker’s bounded rationality and psychological behavior are also taken into consideration which adds up the hesitation and considers the problem with higher dimension of uncertainty. There are various applica…

type-2 fuzzy setsintelligent decision-makingintuitionistic fuzzy setoptimointimulti-criteria decision makingTODIMpäätöksentukijärjestelmätGeometry and Topologysumea logiikkamonitavoiteoptimointiSoftwareTheoretical Computer ScienceSoft Computing
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