Theory and Practice of Uncertain Programming

Authors:
Boading Liu;Broading Liu
Affiliations:
-;-
Venue:
Theory and Practice of Uncertain Programming
Year:
2002

Citing 0
Cited 154

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Fuzzy chance-constrained programming for capital budgeting problem with fuzzy decisions

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Hybrid Genetic-SPSA algorithm based on random fuzzy simulation for chance-constrained programming

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Random fuzzy age-dependent replacement policy

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A theorem for fuzzy random alternating renewal processes

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Linear programming with rough interval coefficients

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A fuzzy supply chain contract problem with pricing and warranty

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Abstract

From the Publisher:This book provides a self-contained, comprehensive and up-to-date presentation of uncertain programming theory. It includes numerous modeling ideas, hybrid intelligent algorithms, and various applications in transportation problem inventory system, facility location & allocation, capital budgeting, topological optimization, vehicle routing problem, redundancy optimization, and scheduling. Researchers, practitioners and students in operations research, management science, information science, system science, and engineering will find this work a stimulating and useful reference.