A new approach to the comparison of real, interval and fuzzy-valued intuitionistic fuzzy and Belief-Plausibility numbers

被引:3
作者
Sevastjanov, Pavel [1 ,2 ]
Dymova, Ludmila [1 ]
Kaczmarek, Krzysztof [1 ]
机构
[1] Czestochowa Tech Univ, Dept Comp Sci, Dabrowskiego 73, PL-42201 Czestochowa, Poland
[2] Social Sci Acad, Henryka Sienkiewicza 9, PL-90113 Lodz, Poland
关键词
Intuitionistic fuzzy sets theory; Dempster-Shafer theory; Multiple criteria decision making; Comparison of the real interval and; fuzzy-valued intuitionistic fuzzy and; Belief-Plausibility numbers; MULTIATTRIBUTE DECISION-MAKING; ACCURACY FUNCTION; FRAMEWORK; AGGREGATION; OPERATIONS; CRITERIA; SCORE;
D O I
10.1016/j.ijar.2022.11.001
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Recently the useful redefinition of the intuitionistic and interval-valued intuitionistic fuzzy set theories (A - IF S, A- IV I F S) based on the Dempster-Shafer theory of evidence (DST) was developed. It was named the "Belief-Plausibility" (B P) approach as only the basic mathematical tools of the DST were used for its foundation. In this paper, a new approach to compare the real, interval and fuzzy-valued intuitionistic fuzzy and BP numbers is proposed. Among known approaches to compare intuitionistic fuzzy objects, most justified and used in applications are those based on the so-called score and accuracy functions. The observed multiplicity of these functions treatments and modifications indicates that the source of such a divergence is the impossibility to solve this problem exclusively in the framework of the A- IF S. Therefore, to develop the reliable methods for the considered types of comparison, a redefinition of this problem based on the BP approach is proposed. This redefinition allows us to develop new two and three criteria methods for comparison of real, interval and fuzzy-valued intuitionistic fuzzy and BP numbers, based on the local criteria with transparent interpretation in the framework of the BP approach.(c) 2022 Elsevier Inc. All rights reserved.
引用
收藏
页码:262 / 281
页数:20
相关论文
共 82 条
[1]  
[Anonymous], 2018, Open Cyber Syst J, DOI DOI 10.2174/1874110X01812010072
[2]  
Arokiamary A., 2016, INT J MATH APPL, V4, P397
[3]   INTERVAL VALUED INTUITIONISTIC FUZZY-SETS [J].
ATANASSOV, K ;
GARGOV, G .
FUZZY SETS AND SYSTEMS, 1989, 31 (03) :343-349
[4]   INTUITIONISTIC FUZZY-SETS [J].
ATANASSOV, KT .
FUZZY SETS AND SYSTEMS, 1986, 20 (01) :87-96
[5]  
Bharati S K., 2017, Global Journal of Pure and Applied Mathematics, V13, P4595
[6]   Transportation problem with interval-valued intuitionistic fuzzy sets: impact of a new ranking [J].
Bharati, Shailendra Kumar .
PROGRESS IN ARTIFICIAL INTELLIGENCE, 2021, 10 (02) :129-145
[7]  
Chandrasekaran S., 2015, INT J SCI ENG APPL S, V1, P504
[8]   HANDLING MULTICRITERIA FUZZY DECISION-MAKING PROBLEMS BASED ON VAGUE SET-THEORY [J].
CHEN, SM ;
TAN, JM .
FUZZY SETS AND SYSTEMS, 1994, 67 (02) :163-172
[9]   Interval-valued intuitionistic fuzzy QUALIFLEX method with a likelihood-based comparison approach for multiple criteria decision analysis [J].
Chen, Ting-Yu .
INFORMATION SCIENCES, 2014, 261 :149-169
[10]  
Cuong B. C., 2014, J COMPUTER SCI CYBER, V30, P409