Interactive Fuzzy Optimization

Fedrizzi, Mario und Marc Roubens,

ISBN 10: 3540545778 / ISBN 13: 9783540545774

Published by Springer Berlin, 1991

About this Item

222 Seiten Ehem. Bibliotheksexemplar m. Stempel u. Rückensign. Leichte bis moderate Lager- und Gebrauchsspuren, insgesamt ein gutes Arbeitsex. 9783540545774 Sprache: Deutsch Gewicht in Gramm: 408.

Seller Inventory # 1099539

Bibliographic Details

• Title: Interactive Fuzzy Optimization
• Publisher: Springer Berlin
• Publication Date: 1991
• Language: German
• ISBN 10: 3540545778
• ISBN 13: 9783540545774
• Binding: 244 x 170 mm
• Seller catalogs:
  • AA Varia

About this title

Synopsis

The title of this book seems to indicate that the volume is dedicated to a very specialized and narrow area, i. e. , to the relationship between a very special type of optimization and mathematical programming. The contrary is however true. Optimization is certainly a very old and classical area which is of high concern to many disciplines. Engineering as well as management, politics as well as medicine, artificial intelligence as well as operations research, and many other fields are in one way or another concerned with optimization of designs, decisions, structures, procedures, or information processes. It is therefore not surprising that optimization has not grown in a homogeneous way in one discipline either. Traditionally, there was a distinct difference between optimization in engineering, optimization in management, and optimization as it was treated in mathematical sciences. However, for the last decades all these fields have to an increasing degree interacted and contributed to the area of optimization or decision making. In some respects, new disciplines such as artificial intelligence, descriptive decision theory, or modern operations research have facilitated, or even made possible the interaction between the different classical disciplines because they provided bridges and links between areas which had been developing and applied quite independently before. The development of optimiiation over the last decades can best be appreciated when looking at the traditional model of optimization. For a well-structured, Le.

Synopsis

The purpose of this volume is to present recent developments in the use of fuzzy sets in broadly perceived interactive optimization and mathematical programming. The introductory sections are followed by material with an emphasis on elements of human interaction and information on software packages and applications. The book is intended to be of use to researchers in the field.