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Operations Research: Recent Advances
Editor(s): Sheikh Ahmed Hossain, Samarjit Kar

ISBN:    978-81-8487-255-2 
E-ISBN:   
Publication Year:   2014
Pages:   164
Binding:   Hard Back
Dimension:   160mm x 240mm
Weight:   750



About the book

One of the most appealing and prominent features of operations research is its inherent interdisciplinary nature. Operations researchers commonly draw from a wide variety of disciplines including engineering, economics, computer science, statistics, psychology and other social and behavioural sciences. Applications are commonly found in finance, marketing, engineering, accounting, information systems, politics, medicine, and production/operations management. Though the development of operations research consisting more or less of mathematical theories and algorithms, during last few years some remarkable changes have been shown in this discipline in connection with recent technological advances and the increasing scarcity of resources. This volume presents a number of papers involving theoretical article, use of different optimization methodologies, and use of metaheuristics algorithms to solve large complex problems and different application issues.



Table of Contents

Preface / Fuzzy Stochastic Modeling of Radiological Risk from Inhalation and Ingestion of Contaminated Air and Food / Disease Diagnosis using Group Decision Making: A Fuzzy Preference Relation based Approach / Type-2 Fuzzy Set and its Applications / The More-or-Less Solution of a Transportation Problem / Multi Production Inventory Model with Fuzzy Constraints Under Possibility/Necessity/Credibility Measures / Optimizing PID Controller Error using an Artificial Neural Network / Multi-Objective Fuzzy Portfolio Selection Model / Automobile Sector Efficiency Measurement in the Context of Indian Financial Market: An Investigation / Imprecise Probability-Fuzzy Uncertainty Modelling in Atmospheric Dispersion / Error Optimization of PID Controller using a Genetic Algorithm / Multiple Attribute Decision Making with Entropy Weights under Intituitionistic Fuzzy Environment: A Fuzzy TOPSIS Approach / Aggregate Production Planning of a Paint Factory using a Genetic Algorithm / Author Index.




Audience

Postgraduate Students, Librarians, Researchers and Professionals


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