Multiple Criteria Decision-Making Methods : : Applications for Managerial Discretion / / Adarsh Anand, Deepti Aggrawal, Mohini Agarwal.

• Superior document: Title is part of eBook package: De Gruyter DG Plus DeG Package 2022 Part 1
• VerfasserIn: Anand, Adarsh,; Agarwal, Mohini,; Aggrawal, Deepti,
• Place / Publishing House: Berlin ;, Boston : : De Gruyter, , [2022]; ©2022
• Year of Publication: 2022
• Language: English
• Series: De Gruyter Series on the Applications of Mathematics in Engineering and Information Sciences , 14
• Physical Description: 1 online resource (XIV, 142 p.)

This book provides application of multi criteria decision making techniques for managerial discretion. With this book, a concerted platform has been provided for several peers and other management organizations to understand and implement these tools and deal with the practical problems in a better way so as to provide more robust managerial decision making.

Table of Contents

Frontmatter -- Acknowledgements -- Preface -- Contents -- Editors’ biography -- Chapter 1 Introduction to multi-criteria decision-making process -- Section 1: Determination of criteria weights -- Chapter 2 Determining weights using analytic hierarchy process (AHP) -- Chapter 3 Weight determination using best-worst method -- Chapter 4 CRITIC method for weight determination -- Chapter 5 Entropy method for weight determination -- Section 2: Finding the ranking of alternatives -- Chapter 6 Additive ratio assessment (ARAS) for best alternative selection -- Chapter 7 Combinative distance-based assessment (CODAS) for decision-making -- Chapter 8 Application of complex proportional assessment (COPRAS) for filtering -- Chapter 9 Utilizing evaluation based on distance from average solution (EDAS) for decision-making -- Chapter 10 Grey Relational Analysis (GRA) for optimal model selection -- Chapter 11 Using multi-objective optimization based on ratio analysis for decision-making -- Chapter 12 Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE-I and II) -- Chapter 13 Preference Selection Index (PSI) for optimal alternative selection -- Chapter 14 Utilizing simple additive weighting (SAW) method for managerial discretion -- Chapter 15 Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) for best model selection -- Chapter 16 VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) for optimal model selection -- Section 3: Some other useful MCDM techniques -- Chapter 17 Analytic Network Process (ANP) method -- Chapter 18 Selecting best alternative through Data Envelopment Analysis (DEA) method -- Chapter 19 Decision-making trial and evaluation laboratory method -- Index