Uncertain Multi-Objective Decision Making: Methods and Industrial Models

個数：

予約

Uncertain Multi-Objective Decision Making: Methods and Industrial Models

Fazlollahtabar, Hamed

ウェブストア価格 ¥39,787（本体¥36,170）
Springer Verlag, Singapore（2026/02発売）
外貨定価 US$ 179.99
ポイント 361pt

現在予約受付中です。出版後の入荷・発送となります。
（重要：表示されている発売日は予定となり、発売が延期、中止、生産限定品で商品確保ができないなどの理由により、ご注文をお取消しさせていただく場合がございます。予めご了承ください。）

●3Dセキュア導入とクレジットカードによるお支払いについて

【入荷遅延について】
世界情勢の影響により、海外からお取り寄せとなる洋書・洋古書の入荷が、表示している標準的な納期よりも遅延する場合がございます。
おそれいりますが、あらかじめご了承くださいますようお願い申し上げます。

◆画像の表紙や帯等は実物とは異なる場合があります。

◆ウェブストアでの洋書販売価格は、弊社店舗等での販売価格とは異なります。
また、洋書販売価格は、ご注文確定時点での日本円価格となります。
ご注文確定後に、同じ洋書の販売価格が変動しても、それは反映されません。

製本 Hardcover:ハードカバー版
言語 ENG
商品コード 9789819560349

Full Description

This book explains multi-objective optimization as an area of multicriteria decision making that deals with mathematical optimization problems involving more than one objective function that must be optimized simultaneously. Multi-objective optimization is used in many fields of science, including engineering, economics, and logistics, where there is a need to make optimal decisions in the presence of trade-offs between two or more conflicting objectives. Uncertain optimization refers to contexts where there is uncertainty in models and data. It potentially has various applications in different domains such as portfolio selection, inventory management, pollution reduction, sustainable development, resource allocation and reallocation, and performance analysis. The book encompasses various types of uncertainty in decision making namely fuzziness, possibility, Bayesian, stochastic, roughness, vagueness, and artificial intelligence and develops application areas in industrial cases. It includes 12 chapters presenting multiobjective decision models under one of the uncertainty types. In each chapter an implementation study is illustrated to show the applicability of he model.

Fuzzy Multi-Objective Optimization by α-cut method.- Fuzzy Multi-Objective Optimization by utility-based maximum technique.- Integrated Fuzzy PROMETHEE and Fuzzy linear Multi-Objective Program.- Fuzzy Multi-Objective AHP-TOPSIS Method.- Fuzzy Multi-Objective Mathematical Programming using Ranking Method.- Vague Multi-Objective Optimization by Branch and Bound method.- Possible Vague Multi-Objective Optimization in Queue System.- Possible Vague Multi-Objective Optimization in Queue System.- Rough Multi-Objective Optimization using Best-Worst method.- Multi-Objective Possibility Theory.- Bayesian Multi-Objective Optimization.- Stochastic Multi-Objective Optimization.- Artificial Intelligence Application for Multi-Objective Optimization.