Fuzzy Preference Ordering of Interval Numbers in Decision Problems

Language: English

Published by Springer, Springer Okt 2010, 2010

3642100600 / 9783642100604

Series: Book 45 of 183 - Studies in Fuzziness and Soft Computing

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This item is printed on demand - Print on Demand Titel. Neuware -In conventional mathematical programming, coefficients of problems are usually determined by the experts as crisp values in terms of classical mathematical reasoning. But in reality, in an imprecise and uncertain environment, it will be utmost unrealistic to assume that the knowledge and representation of an expert can come in a precise way. The wider objective of the book is to study different real decision situations where problems are defined in inexact environment. Inexactness are mainly generated in two ways ¿ (1) due to imprecise perception and knowledge of the human expert followed by vague representation of knowledge as a DM; (2) due to huge-ness and complexity of relations and data structure in the definition of the problem situation. We use interval numbers to specify inexact or imprecise or uncertain data. Consequently, the study of a decision problem requires answering the following initial questions: How should we compare and define preference ordering between two intervals , interpret and deal inequality relations involving interval coefficients , interpret and make way towards the goal of the decision problem The present research work consists of two closely related fields: approaches towards defining a generalized preference ordering scheme for interval attributes and approaches to deal with some issues having application potential in many areas of decision making.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 180 pp. Englisch.

Seller Inventory # 9783642100604

Title
Fuzzy Preference Ordering of Interval Numbers in Decision Problems
Author
Atanu Sengupta
Publisher
Springer, Springer Okt 2010
Publication year
2010
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3642100600
ISBN 13
9783642100604
Item weight
283 grams
Dimensions
235x155x11 mm
Series
Book 45 of 183: Studies in Fuzziness and Soft Computing

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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