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Book

Big Data Analytics Using Multiple Criteria Decision-Making Models

Book

Big Data Analytics Using Multiple Criteria Decision-Making Models

DOI link for Big Data Analytics Using Multiple Criteria Decision-Making Models

Big Data Analytics Using Multiple Criteria Decision-Making Models book

Big Data Analytics Using Multiple Criteria Decision-Making Models

DOI link for Big Data Analytics Using Multiple Criteria Decision-Making Models

Big Data Analytics Using Multiple Criteria Decision-Making Models book

Edited ByRamakrishnan Ramanathan, Muthu Mathirajan, A. Ravi Ravindran
Edition 1st Edition
First Published 2017
eBook Published 17 July 2017
Pub. Location Boca Raton
Imprint CRC Press
DOI https://doi.org/10.1201/9781315152653
Pages 386
eBook ISBN 9781315152653
Subjects Computer Science, Engineering & Technology
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Ramanathan, R., Mathirajan, M., & Ravindran, A.R. (Eds.). (2017). Big Data Analytics Using Multiple Criteria Decision-Making Models (1st ed.). CRC Press. https://doi.org/10.1201/9781315152653

ABSTRACT

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.

TABLE OF CONTENTS

chapter 1|20 pages

Multicriteria Leadership and Decisions: Festschrift in Honor of Ravi Ravindran

ByA. B. Badiru

chapter 2|46 pages

Multi-Criteria Decision Making: An Overview and a Comparative Discussion

ByRamakrishnan Ramanathan, A. Ravi Ravindran, Muthu Mathirajan

chapter 3|20 pages

Basics of Analytics and Big Data

ByU. Dinesh Kumar, Manaranjan Pradhan, Ramakrishnan Ramanathan

chapter 4|26 pages

Linear Programming (LP)-Based Two-Phase Classifier for Solving a Classification Problem with Multiple Objectives

BySakthivel Madankumar, Pusapati Navya, Chandrasekharan Rajendran, N. Srinivasa Gupta, B. Valarmathi

chapter 5|22 pages

Multicriteria Evaluation of Predictive Analytics for Electric Utility Service Management

ByRaghav Goyal, Vivek Ananthakrishnan, Sharan Srinivas, Vittaldas V. Prabhu

chapter 6|20 pages

Multiobjective Forecasting: Time Series Models Using a Deterministic Pseudo-Evolutionary Algorithm

ByNagulapally Venkat Ramarao, P. Y. Yeshwanth Babu, Sankaralingam Ganesh, Chandrasekharan Rajendran

chapter 7|20 pages

A Class of Models for Microgrid Optimization

ByShaya Sheikh, Mohammad Komaki, Camelia Al-Najjar, Abdulaziz Altowijri, Behnam Malakooti

chapter 8|36 pages

A Data-Driven Approach for Multiobjective Loan Portfolio Optimization Using Machine-Learning Algorithms and Mathematical Programming

BySharan Srinivas, Suchithra Rajendran

chapter 9|32 pages

Multiobjective Routing in a Metropolitan City with Deterministic and Dynamic Travel and Waiting Times, and One-Way Traffic Regulation

BySwaminathan Vignesh Raja, Chandrasekharan Rajendran, Ramaswamy Sivanandan, Rainer Leisten

chapter 10|26 pages

Designing Resilient Global Supply Chain Networks over Multiple Time Periods within Complex International Environments

ByRodolfo C. Portillo

chapter 11|34 pages

MCDM-Based Modeling Framework for Continuous Performance Evaluation of Employees to Offer Reward and Recognition

ByS. S. Sreejith, Muthu Mathirajan

chapter 12|12 pages

Use of DEA for Studying the Link between Environmental and Manufacturing Performance

ByRamakrishnan Ramanathan

chapter 13|40 pages

An Integrated Multicriteria Decision-Making Model for New Product Portfolio Management

ByPulipaka Kiranmayi, Muthu Mathirajan
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