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Big data analytics using multiple criteria decision-making models

Ramanathan, R and Mathirajan, M and Ravindran, AR (2017) Big data analytics using multiple criteria decision-making models. [Book Chapter]

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Official URL: https://doi.org/10.1201/9781315152653


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. © 2017 by Taylor & Francis Group, LLC.

Item Type: Book Chapter
Publication: Big Data Analytics Using Multiple Criteria Decision-Making Models
Publisher: CRC Press
Additional Information: The copyright for this article belongs to the Taylor & Francis Group, LLC.
Keywords: Decision making; Operations research, Big Data Analytics; Business analytics; Decision-making problem; Multiple criteria decision making; Multiple criteria decision making models; Sub fields, Big data
Department/Centre: Division of Interdisciplinary Sciences > Management Studies
Date Deposited: 05 Aug 2022 04:51
Last Modified: 05 Aug 2022 04:51
URI: https://eprints.iisc.ac.in/id/eprint/74659

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