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Books > Science & Mathematics > Mathematics > Mathematical foundations > Mathematical logic

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Fuzzy Sets and Interactive Multiobjective Optimization (Hardcover, 1993 ed.) Loot Price: R4,621
Discovery Miles 46 210
Fuzzy Sets and Interactive Multiobjective Optimization (Hardcover, 1993 ed.): Masatoshi Sakawa

Fuzzy Sets and Interactive Multiobjective Optimization (Hardcover, 1993 ed.)

Masatoshi Sakawa

Series: Applied Information Technology

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Loot Price R4,621 Discovery Miles 46 210 | Repayment Terms: R433 pm x 12*

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The main characteristics of the real-world decision-making problems facing humans today are multidimensional and have multiple objectives including eco nomic, environmental, social, and technical ones. Hence, it seems natural that the consideration of many objectives in the actual decision-making process re quires multiobjective approaches rather than single-objective. One ofthe major systems-analytic multiobjective approaches to decision-making under constraints is multiobjective optimization as a generalization of traditional single-objective optimization. Although multiobjective optimization problems differ from single objective optimization problems only in the plurality of objective functions, it is significant to realize that multiple objectives are often noncom mensurable and conflict with each other in multiobjective optimization problems. With this ob servation, in multiobjective optimization, the notion of Pareto optimality or effi ciency has been introduced instead of the optimality concept for single-objective optimization. However, decisions with Pareto optimality or efficiency are not uniquely determined; the final decision must be selected from among the set of Pareto optimal or efficient solutions. Therefore, the question is, how does one find the preferred point as a compromise or satisficing solution with rational pro cedure? This is the starting point of multiobjective optimization. To be more specific, the aim is to determine how one derives a compromise or satisficing so lution of a decision maker (DM), which well represents the subjective judgments, from a Pareto optimal or an efficient solution set."

General

Imprint: Kluwer Academic / Plenum Publishers
Country of origin: United States
Series: Applied Information Technology
Release date: February 1993
First published: 1993
Authors: Masatoshi Sakawa
Dimensions: 254 x 178 x 23mm (L x W x T)
Format: Hardcover
Pages: 308
Edition: 1993 ed.
ISBN-13: 978-0-306-44337-4
Categories: Books > Science & Mathematics > Mathematics > Mathematical foundations > Mathematical logic
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LSN: 0-306-44337-6
Barcode: 9780306443374

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