When people or computers need to make a decision, typically multiple conflicting criteria need to be evaluated; for example, when we buy a car, we need to consider safety, cost and comfort. Multiple criteria decision making (MCDM) has been researched for decades. Now as the rising trend of big-data analytics in supporting decision making, MCDM can be more powerful when combined with state-of-the-art analytics and machine learning. In this book, the authors introduce a new framework of MCDM, which can lead to more accurate decision making. Several real-world cases will be included to illustrate the new hybrid approaches.
Introduction. New Hybrid MCDM Models for Tomorrow. DEMATEL Technique. DEMATEL Technique for Constructing INRM and Determining DANP. Traditional MADM and New Hybrid Modified MADM. New Thinking with Changeable Spaces for hybrid MODM. Hybrid Multiple Rule/Rough-based Decision Making (MRDM). Case of DEMATEL Analysis for Assessing Information Rsk. A New Hybrid MADM Model Combining DANP with VIKOR for Improving E-store Business. A Hybrid MADM Approach for Improving the Performance of Green Suppliers in the TFT-LCD Industry. Exploring Smart Phone Improvements Based on a Hybrid MADM Model. Evaluating the Implementation of Business-to-Business M-commerce by SMEs Based on a New Hybrid MADM Model. DANP With VIKOR for Selecting Glamor Stocks. De Novo Planning for Strategic Alliance. The Example of Changeable Space in MODM. VC-DRSA with DEMATEL for the Semiconductor Industry. DRSA+DANP+VIKOR for Evaluating COmmercial banks. VC-DRSA with FCA-Based DANP Improvement Planning for the IT Industry. A Fuzzy Integral-Based Model for Supplier Evaluation and Improvement. DRSA+DANP with Fuzzy Integral for Life Insurers on Improvement Planning