Paper Info
Title
Multi-Layer Decision Methodology For Ranking Z-Numbers
Abstract
The new concept of a Z - number has been recently introduced in decision making analysis. This concept is capable of effectively dealing with uncertainty in information about a decision. As this concept is relatively new in fuzzy sets, its underlying theoretical aspects have not been established yet. In this paper, a multi-layer methodology for ranking Z - numbers is proposed for the first time. This methodology consists of two layers: Z - number conversion as the first layer and fuzzy number ranking as the second layer. In this study, the conversion methodology of Z - numbers into fuzzy numbers is extended to conversion into standardised generalised fuzzy number so that the methodology is applicable to both positive and negative data values. The methodology is validated by means of thorough comparison with some established ranking methods for consistency purposes. This methodology is considered as a generic decision making procedure, especially when Z - numbers are applied to real decision making problems.
Year
DOI
Venue
2015
10.1080/18756891.2015.1017371
INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS
Keywords
Field
DocType
standardised generalised fuzzy numbers, ranking Z - numbers, consistency with human intuition, Z - numbers
Data mining,Multi layer,Ranking,Fuzzy set,Artificial intelligence,Fuzzy number,Machine learning,Mathematics
Journal
Volume
Issue
ISSN
8
2
1875-6891
Citations 
PageRank 
References 
4
0.38
10
Authors
2
Name
Order
Citations
PageRank
Ahmad Syafadhli Abu Bakar1132.59
Alexander Gegov240.38