Fuzzy Sets and Interactive Multiobjective Optimization

Name: Fuzzy Sets and Interactive Multiobjective Optimization
Brand: Springer-Verlag New York Inc.
SKU: 9781489916358
Price: 830.22 RON
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Autor: Masatoshi Sakawa

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Editura: Springer-Verlag New York Inc.

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

Informații despre carte

Autor

Masatoshi Sakawa

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2013

Pagini

308

EAN

9781489916358

ISBN

1489916350

Enbook ID

02717112

Editura

Springer-Verlag New York Inc.

Greutate

618

Dimensiuni

178 x 254 x 18

Descriere completă

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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