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IGI Global Optimization Techniques for Problem Solving in Uncertainty

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£176.92 £161.41 £164.79 £168.18 £171.56 £174.95 £178.33 25 July 2026 15 August 2026 05 September 2026 26 September 2026 17 October 2026
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Price range: £163 - £177

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Description

Optimization Techniques for Problem Solving in Uncertainty is a scholarly reference resource from IGI Global that examines how to apply optimization methods when complete information is unavailable. This comprehensive guide addresses situations where real-world models lack sufficient data to establish probability distributions or membership functions, exploring theories and approaches for quantifying uncertain aspects across multiple disciplines. The book covers uncertain preference, fuzzy multilevel programming, metaheuristic methods, and other advanced optimization strategies essential for decision-making professionals and researchers working in complex, data-limited environments. Ideal for practitioners in management, operations research, and applied mathematics who need practical frameworks for solving problems under uncertainty.

Key Features

This IGI Global publication provides scholarly coverage of optimization techniques specifically designed for scenarios with incomplete or uncertain information.

The book explores fuzzy multilevel programming and other mathematical frameworks for handling uncertainty in real-world problem solving applications.

Optimization Techniques for Problem Solving in Uncertainty covers metaheuristic approaches and advanced methodologies relevant to multiple academic and professional disciplines.

This resource is essential for decision-making professionals and researchers who encounter uncertain preferences and incomplete data in their work.

The publication addresses how to quantify and work with uncertain aspects when traditional probability distributions cannot be reliably constructed.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
22 June 2018
Listed Since
07 February 2018

Barcode

No barcode data available

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