Fuzzy Sets in Decision Analysis, Operations Research and Statistics

Fuzzy Sets in Decision Analysis, Operations Research and Statistics includes chapters on fuzzy preference modeling, multiple criteria analysis, ranking and sorting methods, group decision-making and fuzzy game theory. It also presents optimization techniques such as fuzzy linear and non-linear progr...

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Bibliographic Details
Other Authors: Slowiński, Roman (Editor)
Format: eBook
Language:English
Published: New York, NY Springer US 1998, 1998
Edition:1st ed. 1998
Series:The Handbooks of Fuzzy Sets
Subjects:
Online Access:
Collection: Springer Book Archives -2004 - Collection details see MPG.ReNa
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245 0 0 |a Fuzzy Sets in Decision Analysis, Operations Research and Statistics  |h Elektronische Ressource  |c edited by Roman Slowiński 
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300 |a XXIV, 453 p  |b online resource 
505 0 |a I Decision Making -- 1 Fuzzy Preference Modeling -- 2 Fuzzy Aggregation of Numerical Preferences -- 3 The Use of Fuzzy Preference Models in Multiple Criteria Choice, Ranking and Sorting -- 4 Group Decision Making Under Fuzziness -- 5 Elements of Fuzzy Game Theory -- II Mathematical Programming -- 6 Fuzzy Linear Programming with Single or Multiple Objective Functions -- 7 Fuzzy Nonlinear Programming with Single or Multiple Objective Functions -- 8 Discrete Fuzzy Optimization -- 9 Fuzzy Dynamic Programming -- III Statistics and Data Analysis -- 10 Fuzzy Set-Theoretic Methods in Statistics -- 11 Fuzzy Regression Analysis -- IV Reliability, Maintenance and Replacement -- 12 Reliability -- 13 Maintenance and Replacement Models under a Fuzzy Framework 
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653 |a Mathematical logic 
653 |a Calculus of Variations and Optimization 
653 |a Discrete Mathematics 
653 |a Discrete mathematics 
653 |a Mathematical Logic and Foundations 
653 |a Mathematical optimization 
653 |a Operations Research and Decision Theory 
653 |a Calculus of variations 
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520 |a Fuzzy Sets in Decision Analysis, Operations Research and Statistics includes chapters on fuzzy preference modeling, multiple criteria analysis, ranking and sorting methods, group decision-making and fuzzy game theory. It also presents optimization techniques such as fuzzy linear and non-linear programming, applications to graph problems and fuzzy combinatorial methods such as fuzzy dynamic programming. In addition, the book also accounts for advances in fuzzy data analysis, fuzzy statistics, and applications to reliability analysis. These topics are covered within four parts: Decision Making, Mathematical Programming, Statistics and Data Analysis, and Reliability, Maintenance and Replacement. The scope and content of the book has resulted from multiple interactions between the editor of the volume, the series editors, the series advisory board, and experts in each chapter area. Each chapter was written by a well-known researcher on the topic and reviewed by other experts in the area. These expert reviewers sometimes became co-authors because of the extent of their contribution to the chapter. As a result, twenty-five authors from twelve countries and four continents were involved in the creation of the 13 chapters, which enhances the international character of the project and gives an idea of how carefully the Handbook has been developed