Decision making based on linguistic interval-valued intuitionistic neutrosophic Dombi fuzzy hybrid weighted geometric operator

被引:0
作者
Aliya Fahmi
Fazli Amin
Sidra Niaz
机构
[1] The University of Faisalabad,School of Mathematics, Department of Management Sciences
[2] Hazara University Mansehra,Department of Mathematics
来源
Soft Computing | 2020年 / 24卷
关键词
Linguistic term; LIVINDFWG operator; LIVINDFOWG operator; LIVINDFHWG operator; MCDM;
D O I
暂无
中图分类号
学科分类号
摘要
In this paper, we proposed the notion of a linguistic interval-valued intuitionistic neutrosophic fuzzy number. We define some score and accuracy functions of LIVINFNs are defined with a brief study of related properties. Moreover, we propose the geometric forms of LIVINDFWG, LIVINDFOWG, and LIVINDFHWG operator, which is called the geometric operators. Then, we present its characteristics and some special cases. Moreover, we put forward two new MADM approaches founded on the developed LIVINDFWG and LIVINDFOWG operators. Finally, a representative example is provided to verify the effectiveness and superiority of the proposed method by comparing it with other several existing representative MAGDM methods.
引用
收藏
页码:15907 / 15925
页数:18
相关论文
共 84 条
[1]  
Atanassov KT(1989)More on intuitionistic fuzzy sets Fuzzy Sets Syst 33 37-45
[2]  
Atanassov KT(1994)New operations defined over the intuitionistic fuzzy sets Fuzzy Sets Syst 61 137-142
[3]  
Bordogna G(1997)A linguistic modeling of consensus in group decision making based on OWA operators IEEE Trans Syst Man Cybern Part A Syst Hum 27 126-133
[4]  
Fedrizzi M(1994)Handling multicriteria fuzzy decision-making problems based on vague set theory Fuzzy Sets Syst 67 163-172
[5]  
Pasi G(2000)Some operations on intuitionistic fuzzy sets Fuzzy Sets Syst 114 477-484
[6]  
Chen SM(2011)A novel hybrid optimization algorithm of computational intelligence techniques for highway passenger volume prediction Expert Syst Appl 38 4198-4205
[7]  
Tan JM(2019)An improved ant colony optimization algorithm based on hybrid strategies for scheduling problem IEEE Access 7 20281-20292
[8]  
De SK(2020)An improved quantum-inspired differential evolution algorithm for deep belief network IEEE Trans Instrum Meas 177 1860-1866
[9]  
Biswas R(2007)On the position of intuitionistic fuzzy set theory in the framework of theories modelling imprecision Inf Sci 8 149-163
[10]  
Roy AR(1982)A general class of fuzzy operators, the DeMorgan class of fuzzy operators and fuzziness measures induced by fuzzy operators Fuzzy Sets Syst 32 3337-3348