Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/603001
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dc.coverage.spatialThe thesis deals with the algorithm to solve fuzzy game problems
dc.date.accessioned2024-11-26T10:33:08Z-
dc.date.available2024-11-26T10:33:08Z-
dc.identifier.urihttp://hdl.handle.net/10603/603001-
dc.description.abstractThe fuzzy set theory has been applied in almost every business enterprise as well as in everyday life. Ranking function is an important technique that is used for ordering of different fuzzy numbers by converting the each fuzzy number into a single value. In the study, and#945; cut ranking approach and incentre of centroids approach has been applied to the pentagonal, hexagonal, heptagonal and octagonal fuzzy numbers to convert them into crisp numbers. Later on different game problems with payoffs expressed in these fuzzy numbers have been considered and solved by converting them into crisp game problems using the two ranking techniques. newlineIntuitionistic fuzzy sets, as a generalization of Zadeh fuzzy sets, can better express and deal with uncertainty by introducing hesitation. This study has proposed the use of centroid method to rank the trapezoidal intuitionistic fuzzy numbers and further provides a solution methodology for fuzzy matrix games with payoffs expressed in trapezoidal intuitionistic fuzzy numbers. newlineIn the real world competitive situations, it is really worthwhile to consider the evaluation by group of experts rather than a single expert. The existing game models cannot solve the matrix game problem when the expected payoffs according to the opinion of more than one expert have been considered. In the present study, aggregation operators have been used to combine the payoffs given by different experts and then solved the intuitionistic fuzzy matrix game based on the aggregated opinion of more than one expert. A new method has been proposed to solve the fuzzy games in which the payoffs have been expressed in intuitionistic fuzzy numbers by using linear and non linear programming models. newlineBi matrix game theory is very important tool in the situation when the players are not antagonistic. A solution procedure has been designed to solve the fuzzy bi matrix game problem with the collective payoff matrices newline newline
dc.format.extent170 pages
dc.languageEnglish
dc.rightsuniversity
dc.titleSome Algorithms to Determine Value of Game in Fuzzy Environment
dc.title.alternative
dc.creator.researcherNamarta
dc.subject.keywordMathematics
dc.subject.keywordMathematics Applied
dc.subject.keywordPhysical Sciences
dc.description.note
dc.contributor.guideGupta Umesh Chandra, Kaur Parmpreet
dc.publisher.placeDehradun
dc.publisher.universityVeer Madho Singh Bhandari Uttarakhand Technical University
dc.publisher.institutionDepartment of Mathematics
dc.date.registered2016
dc.date.completed2023
dc.date.awarded2024
dc.format.dimensions29.7 cm x 21 cm x 2 cm
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Mathematics

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01- title page.pdfAttached File287.82 kBAdobe PDFView/Open
02-prelim pages.pdf1.03 MBAdobe PDFView/Open
03- contents..pdf260.85 kBAdobe PDFView/Open
04-abstract.pdf138.17 kBAdobe PDFView/Open
05- chapter 1 .pdf1.28 MBAdobe PDFView/Open
06-chapter 2.pdf500.42 kBAdobe PDFView/Open
07-chapter 3.pdf1.55 MBAdobe PDFView/Open
08-chapter 4 .pdf654.37 kBAdobe PDFView/Open
09-chapter 5.pdf727.7 kBAdobe PDFView/Open
10-chapter 6.pdf999.28 kBAdobe PDFView/Open
11-chapter 7.pdf205.38 kBAdobe PDFView/Open
12_annexures.pdf649.24 kBAdobe PDFView/Open
80_recommendation.pdf739.33 kBAdobe PDFView/Open


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