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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Uncertain Multi-Objective Decision Making: Methods and Industrial Models

Uncertain Multi-Objective Decision Making: Methods and Industrial Models

Fazlollahtabar, Hamed

Hardcover

FictionGeneral MathematicsProbability & Statistics

Currently unavailable to order

ISBN10: 9819560349
ISBN13: 9789819560349
Publisher: Springer
Published: Jan 3 2026
Pages: 320
Weight: 1.33
Height: 0.93 Width: 6.42 Depth: 9.47
Language: English

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 the model.

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