Multiple Criteria Decision-Making Methods : : Applications for Managerial Discretion /

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

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...

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Bibliographic Details
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
Online Access:
Physical Description:1 online resource (XIV, 142 p.)
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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

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