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:
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Decision Making,
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Mathematical Programming,
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Statistics and Data Analysis, and
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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.