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  • Book
  • © 2009

Fuzzy Preference Ordering of Interval Numbers in Decision Problems

  • Studies real decision situations where problems are defined in inexact environment
  • Presents recent research in Fuzzy Preference Ordering of Interval Numbers and Modelling of Interval Decision Problems
  • Includes supplementary material: sn.pub/extras

Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 238)

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Table of contents (9 chapters)

  1. Front Matter

  2. Introduction

    • Atanu Sengupta, Tapan Kumar Pal
    Pages 1-23
  3. On Comparing Interval Numbers: A Study on Existing Ideas

    • Atanu Sengupta, Tapan Kumar Pal
    Pages 25-37
  4. Acceptability Index and Interval Linear Programming

    • Atanu Sengupta, Tapan Kumar Pal
    Pages 39-57
  5. Fuzzy Preference Ordering of Intervals

    • Atanu Sengupta, Tapan Kumar Pal
    Pages 59-89
  6. Solving the Shortest Path Problem with Interval Arcs

    • Atanu Sengupta, Tapan Kumar Pal
    Pages 91-109
  7. Travelling Salesman Problem with Interval Cost Constraints

    • Atanu Sengupta, Tapan Kumar Pal
    Pages 111-119
  8. Interval Transportation Problem with Multiple Penalty Factors

    • Atanu Sengupta, Tapan Kumar Pal
    Pages 121-137
  9. Concluding Remarks and the Future Scope

    • Atanu Sengupta, Tapan Kumar Pal
    Pages 155-159
  10. Back Matter

About this book

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.

Reviews

From the reviews:

“This research monograph is concerned with modeling f­­­­­­­­­­­­­­­­­­­­­­­­­­­­uzzy preference ordering in the frame- work of decision-making. … The fuzzy preference­­­­­­­­­­­­­­­­­­­­­­ ­­­­­­­­­­­­­­­­­­­­­­­­­–­­­­­­ based TOPSIS is discussed as well. Overall, the book is a concise and useful treatment of preference handing in uncertain decision-making problems. The wealth of the illustrative numeric material is a useful feature of the book.” (Witold Pedryez, Zentralblatt MATH, Vol. 1169, 2009)

Authors and Affiliations

  • Vidyasagar University, Medinipur, India

    Atanu Sengupta, Tapan Kumar Pal

Bibliographic Information

Buy it now

Buying options

eBook USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access