Description: Please refer to the section BELOW (and NOT ABOVE) this line for the product details - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Title:Fuzzy Sets And Interactive Multiobjective OptimizationISBN13:9780306443374ISBN10:0306443376Author:Sakawa, Masatoshi (Author)Description: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 Binding:Hardcover, HardcoverPublisher:SPRINGER NATUREPublication Date:1993-02-28Weight:1.71 lbsDimensions:0.75'' H x 10'' L x 7'' WNumber of Pages:308Language:English
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Book Title: Fuzzy Sets And Interactive Multiobjective Optimization
Item Length: 10in
Item Width: 7in
Author: Masatoshi Sakawa
Publication Name: Fuzzy Sets and Interactive Multiobjective Optimization
Format: Hardcover
Language: English
Publisher: Springer
Publication Year: 1993
Series: Applied Information Technology Ser.
Type: Textbook
Item Weight: 64.9 Oz
Number of Pages: Xii, 308 Pages
