Big Data Analytics Using Multiple Criteria Decision-Making Models

著者名：Ramanathan, Ramakrishnan (EDT)/Mathirajan, Muthu (EDT)/Ravindran, A. Ravi (EDT)

CRC Press（2017/07/12発売）

• 言語：ENG
• ISBN：9781498753555
• eISBN：9781351648691

Description

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

1. Multi-Criteria Leadership and Decisions: Festschrift in Honor of Ravi Ravindran

Adedeji B. Badiru

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

Ramakrishnan Ramanathan*, A. Ravi Ravindran and M. Mathirajan

3. Basics of Analytics and Big Data


U Dinesh Kumar*, Manaranjan Pradhan and Ramakrishnan Ramanathan

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

Sakthivel Madankumar, Pusapati Navya, Chandrasekharan Rajendran*, N Srinivasa Gupta and B Valarmathi

5. Multi-Criteria Evaluation of Predictive Analytics for Electric Utility Service Management

Raghav Goyal, Vivek Ananthakrishnan, Sharan Srinivas and Vittaldas V. Prabhu*

6. Multi-Objective Forecasting: Time Series Models using a Deterministic Pseudo- Evolutionary Algorithm
   

Nagulapally Venkat Ramarao, P.Y. Yeshwanth Babu, Sankaralingam Ganesh and Chandrasekharan Rajendran*

7. A Class of Models for Micro-Grid Optimization

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

1. A Data-Driven Approach for Multi-Objective Loan Portfolio Optimization using Machine Learning Algorithms and Mathematical Programming
   

Sharan Srinivas* and Suchithra Rajendran

2. Multi-Objective Routing in a Metropolitan City with Deterministic and Dynamic Travel and Waiting Times, and One-Way Traffic Regulation

Swaminathan Vignesh Raja, Chandrasekharan Rajendran*, Ramaswamy Sivanandan and Rainer Leisten

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

Rodolfo C. Portillo

4. An MCDM based Modeling Framework for Continuous Performance Evaluation of Employees to Offer Reward and Recognition
   

S.S. Sreejith and M. Mathirajan*

　

5. The use of DEA for studying the link between environmental and manufacturing performance

Ramakrishnan Ramanathan

　

6. An Integrated Multi Criteria Decision Making Model for New Product Portfolio Management

Kiranmayi Pulipaka and M. Mathirajan*