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Fuzzy Preference Ordering of Interval Numbers in Decision Problems

Name: Fuzzy Preference Ordering of Interval Numbers in Decision Problems
Brand: Springer, Berlin
SKU: 9783540899143
Price: 580.2 RON
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Autor: Atanu Sengupta, Tapan Kumar Pal

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Legare: Copertă tare

Editura: Springer, Berlin

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In conventional mathematical programming, coefficients of problems are usually determined by the exp...

Informații despre carte

Autor

Atanu Sengupta, Tapan Kumar Pal

Limbă

engleză

Legare

Carte - Copertă tare

Publicat

2009

Pagini

166

EAN

9783540899143

ISBN

3540899146

Enbook ID

01571100

Editura

Springer, Berlin

Greutate

950

Dimensiuni

155 x 235 x 11

Descriere completă

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.

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Fuzzy Preference Ordering of Interval Numbers in Decision Problems

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