Title
Macont: Mixed Aggregation By Comprehensive Normalization Technique For Multi-Criteria Analysis
Abstract
Normalization and aggregation are two most important issues in multi-criteria analysis. Although various multi-criteria decision-making (MCDM) methods have been developed over the past several decades, few of them integrate multiple normalization techniques and mixed aggregation approaches at the same time to reduce the deviations of evaluation values and enhance the reliability of the final decision result. This study is dedicated to introducing a new MCDM method called Mixed Aggregation by COmprehensive Normalization Technique (MACONT) to tackle complicate MCDM problems. This method introduces a comprehensive normalization technique based on criterion types, and then uses two mixed aggregation operators to aggregate the distance values between each alternative and the reference alternative on different criteria from the perspectives of compensation and non-compensation. An illustrative example is given to show the applicability of the proposed method, and the advantages of the proposed method are highlighted through sensitivity analyses and comparative analyses.
Year
DOI
Venue
2020
10.15388/20-INFOR417
INFORMATICA
Keywords
DocType
Volume
multiple criteria analysis, comprehensive normalization, mixed aggregation, virtual reference alternative, MACONT
Journal
31
Issue
ISSN
CitationsĀ 
4
0868-4952
0
PageRankĀ 
ReferencesĀ 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Zhi Wen121.02
Huchang Liao2160967.71
Edmundas Kazimieras Zavadskas350049.88