£164.04

IGI Global Optimization Techniques for Problem Solving Book

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Description

In many real-world scenarios, available data is insufficient to build a standard probability distribution or membership function. This scholarly resource provides essential theories to quantify uncertain aspects across various disciplines and applications. As part of the Advances in Data Mining and Database Management series, this book offers deep insights into managing complex data environments where information is incomplete. Readers will explore practical approaches to handling uncertainty through diverse methodologies. The text covers critical topics such as uncertain preference and fuzzy multilevel programming, providing a framework for solving problems when exact models are unavailable. This book serves as a vital reference for professionals and researchers working in decision-making, data mining, and database management who need to navigate unpredictable variables with mathematical precision.

Key Features

Provides advanced theories to quantify uncertain aspects when standard probability distributions are not enough for problem solving.

Explores a wide range of topics including uncertain preference and fuzzy multilevel programming for complex decision making.

Serves as a scholarly reference resource for researchers and professionals in data mining and database management.

Addresses practical applications across different disciplines where information from real models may be incomplete.

Offers technical coverage on metaheuristics and other optimization techniques used to manage unpredictable data variables.

Product Specifications

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

Barcode

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