When it comes to optimization techniques, in some cases, the available information from real models may not be enough to construct either a probability distribution or a membership function for problem solving. In such cases, there are various theories that can be used to quantify the uncertain aspects. Optimization Techniques for Problem Solving in Uncertainty is a scholarly reference resource that looks at uncertain aspects involved in different disciplines and applications. Featuring coverage on a wide range of topics including uncertain preference, fuzzy multilevel programming, and metaheuristic applications, this book is geared towards engineers, managers, researchers, and post-graduate students seeking emerging research in the field of optimization.
- ISBN:
- 9781522550914
- 9781522550914
-
Category:
- Technology: general issues
- Format:
- Hardback
- Publication Date:
-
30-06-2018
- Language:
- English
- Publisher:
- IGI Global
- Country of origin:
- United States
- Dimensions (mm):
- 254x178mm
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