Multi-Layer Decision Methodology For Ranking Z-Numbers

被引:55
作者
Abu Bakar, Ahmad Syafadhli [1 ]
Gegov, Alexander [1 ]
机构
[1] Univ Portsmouth, Sch Comp, Portsmouth PO1 3HE, Hants, England
关键词
standardised generalised fuzzy numbers; ranking Z - numbers; consistency with human intuition; Z; -; numbers; GENERALIZED FUZZY NUMBERS; HEIGHTS;
D O I
10.1080/18756891.2015.1017371
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:395 / 406
页数:12
相关论文
共 25 条
[1]  
Allahviranloo T, 2012, IRAN J FUZZY SYST, V9, P57
[2]  
[Anonymous], J INTELLIGENT FUZZY
[3]  
Bakar A. S. A., 2010, INT C SCI SOC RES CS, V12, P58
[4]  
Bakar A.S.A., 2012, ADV COMPUTATIONAL MA, V1, P146
[5]   A multi-objective genetic algorithm for cardinality constrained fuzzy portfolio selection [J].
Bermudez, J. D. ;
Segura, J. V. ;
Vercher, E. .
FUZZY SETS AND SYSTEMS, 2012, 188 (01) :16-26
[6]   Fuzzy risk analysis based on ranking generalized fuzzy numbers with different left heights and right heights [J].
Chen, Shyi-Ming ;
Munif, Abdul ;
Chen, Guey-Shya ;
Liu, Hsiang-Chuan ;
Kuo, Bor-Chen .
EXPERT SYSTEMS WITH APPLICATIONS, 2012, 39 (07) :6320-6334
[7]   Analyzing fuzzy risk based on a new fuzzy ranking method between generalized fuzzy numbers [J].
Chen, Shyi-Ming ;
Sanguansat, Kata .
EXPERT SYSTEMS WITH APPLICATIONS, 2011, 38 (03) :2163-2171
[8]   Fuzzy risk analysis based on ranking generalized fuzzy numbers with different heights and different spreads [J].
Chen, Shyi-Ming ;
Chen, Jim-Ho .
EXPERT SYSTEMS WITH APPLICATIONS, 2009, 36 (03) :6833-6842
[9]   A new approach for ranking fuzzy numbers by distance method [J].
Cheng, CH .
FUZZY SETS AND SYSTEMS, 1998, 95 (03) :307-317
[10]   Ranking fuzzy numbers with an area between the centroid point and original point [J].
Chu, TC ;
Tsao, CT .
COMPUTERS & MATHEMATICS WITH APPLICATIONS, 2002, 43 (1-2) :111-117