Описание: The volume contains 43 (out of 185) papers that were presented at the 15th International Conference on Multiple Criteria Decision Making held in Ankara, Turkey July 10-14, 2000. The conference was one of the regular conferences of the International Society on Multiple Criteria Decision Making, which are held at approximately two-year intervals. The Ankara conference had 195 participants from 38 countries. The volume covers all relevant aspects of the field and presents the latest research results on MCDM.
Описание: Proceedings of the NATO Advanced Study Institute on Multiple Criteria Decision Making and Risk Analysis Using Microcomputers, held at Tarabya, Istanbul, Turkey, June 28 - July 8, 1987
Автор: Huchang Liao; Zeshui Xu Название: Hesitant Fuzzy Decision Making Methodologies and Applications ISBN: 9811032645 ISBN-13(EAN): 9789811032646 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Preface.- 1 Hesitant Fuzzy Set and Its Extensions.- 2 Novel Correlation and Entropy Measures for Hesitant Fuzzy Set.- 3 Multiple Criteria Decision Making with Hesitant Fuzzy Hybrid Weighted Aggregation Operators.- 4 Hesitant Fuzzy Multiple Criteria Decision Making with Complete Weight Information.- 5 Hesitant Fuzzy Multiple Criteria Decision Making with Incomplete Weights.- 6 Decision Making with Hesitant Fuzzy Preference Relation.
Автор: Kahraman Название: Fuzzy Statistical Decision-Making ISBN: 3319390120 ISBN-13(EAN): 9783319390123 Издательство: Springer Рейтинг: Цена: 20896.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book offers a comprehensive reference guide to fuzzy statistics and fuzzy decision-making techniques. It provides readers with all the necessary tools for making statistical inference in the case of incomplete information or insufficient data, where classical statistics cannot be applied. The respective chapters, written by prominent researchers, explain a wealth of both basic and advanced concepts including: fuzzy probability distributions, fuzzy frequency distributions, fuzzy Bayesian inference, fuzzy mean, mode and median, fuzzy dispersion, fuzzy p-value, and many others. To foster a better understanding, all the chapters include relevant numerical examples or case studies. Taken together, they form an excellent reference guide for researchers, lecturers and postgraduate students pursuing research on fuzzy statistics. Moreover, by extending all the main aspects of classical statistical decision-making to its fuzzy counterpart, the book presents a dynamic snapshot of the field that is expected to stimulate new directions, ideas and developments.
Автор: Cengiz Kahraman Название: Fuzzy Multi-Criteria Decision Making ISBN: 144194575X ISBN-13(EAN): 9781441945754 Издательство: Springer Рейтинг: Цена: 27251.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In summarizing the concepts and results of the most popular fuzzy multicriteria methods, using numerical examples, this work examines all the most recently developed methods. Each one of the 22 chapters include practical applications along with new results.
Автор: Cengiz Kahraman Название: Fuzzy Multi-Criteria Decision Making ISBN: 0387768122 ISBN-13(EAN): 9780387768120 Издательство: Springer Рейтинг: Цена: 25155.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Presents fuzzy multiattribute and multiobjective decision-making methodologies. This work examines various fuzzy multicriteria methods, such as fuzzy AHP, fuzzy TOPSIS, interactive fuzzy multiobjective stochastic linear programming, fuzzy multiobjective dynamic programming, grey fuzzy multiobjective optimization, and more.
Автор: Ching-Lai Hwang; Kwangsun Yoon Название: Multiple Attribute Decision Making ISBN: 3540105581 ISBN-13(EAN): 9783540105589 Издательство: Springer Рейтинг: Цена: 11173.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The literature on methods and applications of Multiple Attribute Decision Making (MADM) has been reviewed and classified systematically. Part IV of the survey deals with the applications of these MADM methods.
Автор: Young-Jou Lai; Ching-Lai Hwang Название: Fuzzy Multiple Objective Decision Making ISBN: 3540575952 ISBN-13(EAN): 9783540575955 Издательство: Springer Рейтинг: Цена: 20263.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Methods of crisp, fuzzy and possibilistic multiple objective decision-making are systematically reviewed and classified in this volume. The reader is provided with a survey of existing methods and their application to the analysis of fuzzy programming problems.
Автор: G?nter Fandel; T. Hanne; Tomas Gal Название: Multiple Criteria Decision Making ISBN: 3540620974 ISBN-13(EAN): 9783540620976 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume presents recent results in theory, methodology and applications of multiple criteria decision-making (MCDM). All facets of MCDM are included, like fuzzy models, nonlinear convex problems, simulated annealing, integer programming models and goal programming.
Автор: Ambrose Goicoechea; L. Duckstein; Stanley Zionts Название: Multiple Criteria Decision Making ISBN: 1461277191 ISBN-13(EAN): 9781461277194 Издательство: Springer Рейтинг: Цена: 14673.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Ambitious as the enterprise was, and as demanding as the planning effort promised to be, we set out to organize the IX International Conference on Multiple criteria Decision Making (MCDM) which took place in Fairfax, Virginia, on August 5-8, 1990.
Автор: Yuji Yoshida Название: Dynamical Aspects in Fuzzy Decision Making ISBN: 3790824909 ISBN-13(EAN): 9783790824902 Издательство: Springer Рейтинг: Цена: 23757.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Dynamic programming, advo- cated in Bellmans book "Dynamic programming" (1957), is one of the most powerful tools to deal with dynamics in systems, and Bellman and Zadeh has proposed the optimality principle in fuzzy decision making by (1970) introducing fuzzy dynamic programming.
Описание: In the literature of decision analysis it is traditional to rely on the tools provided by probability theory to deal with problems in which uncertainty plays a substantive role. , n, in which X and Yare real-valued variables and Ai and Bi are fuzzy numbers exemplified by small, large, not very small, close to 5, etc.
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