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Big Data Analytics Using Multiple Criteria Decision-Making Models

By: (Edited by) A. Ravi Ravindran , (Edited by) Muthu Mathirajan , (Edited by) Ramakrishnan Ramanathan

Re-Printing

Ksh 11,900.00

Format: Paperback / Softback

ISBN-10: 1138747653

ISBN-13: 9781138747654

Series: Operations Research Series

Publisher: Taylor & Francis Ltd

Imprint: CRC Press

Country of Manufacture: US

Country of Publication: GB

Publication Date: Jul 11th, 2017

Print length: 386 Pages

Weight: 606 grams

Dimensions (height x width x thickness): 15.70 x 23.20 x 2.90 cms

Product Classification: Product design
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Multiple Criteria Decision Making (MCDM) is a subfield of Operations Research, dealing with decision making problems. A decision-making problem is characterized by the need to choose one or a few among a number of alternatives. The field of MCDM assumes special importance in this era of Big Data and Business Analytics.

Multiple Criteria Decision Making (MCDM) is a subfield of Operations Research, dealing with decision making problems. A decision-making problem is characterized by the need to choose one or a few among a number of alternatives. The field of MCDM assumes special importance in this era of Big Data and Business Analytics. In this volume, the focus will be on modelling-based tools for Business Analytics (BA), with exclusive focus on the sub-field of MCDM within the domain of operations research. The book will include an Introduction to Big Data and Business Analytics, and challenges and opportunities for developing MCDM models in the era of Big Data.


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