Fuzzy Sets and Interactive Multiobjective Optimization

Name: Fuzzy Sets and Interactive Multiobjective Optimization
Brand: Springer Science+Business Media
SKU: 9780306443374
Price: 57690 HUF
Availability: InStock

Szerző: M. Sakawa

Nyelv:

Kötés: Kemény kötésű

Kiadó: Springer Science+Business Media

Elérhetőség: Beszállítói készleten

Küldés 10-13 napon belül

57 690 Ft

The main characteristics of the real-world decision-making problems facing humans today are multidim...

Információk a könyvről

Szerző

M. Sakawa

Nyelv

Angol

Kötés

Könyv - Kemény kötésű

Kiadva

1993

oldal

308

EAN

9780306443374

ISBN

0306443376

Enbook ID

01378035

Kiadó

Springer Science+Business Media

Súly

750

Méretek

259 x 187 x 23

Teljes leírás

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.

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Fuzzy Sets and Interactive Multiobjective Optimization

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