Description: Fuzzy Sets and Interactive Multiobjective Optimization Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Author(s): Masatoshi Sakawa Format: Paperback Publisher: Springer-Verlag New York Inc., United States Imprint: Springer-Verlag New York Inc. ISBN-13: 9781489916358, 978-1489916358 Synopsis 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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Book Title: Fuzzy Sets and Interactive Multiobjective Optimization
Item Height: 254 mm
Item Width: 178 mm
Series: Applied Information Technology
Author: Masatoshi Sakawa
Publication Name: Fuzzy Sets and Interactive Multiobjective Optimization
Format: Paperback
Language: English
Publisher: Springer-Verlag New York Inc.
Subject: Computer Science, Mathematics
Publication Year: 2013
Type: Textbook
Item Weight: 618 g
Number of Pages: 308 Pages
