Multi-Attribute Decision-Making Based on Preference Perspective with Interval Neutrosophic Sets in Venture Capital

被引:17
|
作者
Hong, Yanran [1 ]
Xu, Dongsheng [1 ,2 ]
Xiang, Kaili [2 ]
Qiao, Han [1 ]
Cui, Xiangxiang [1 ]
Xian, Huaxiang [1 ]
机构
[1] Southwest Petr Univ, Sch Sci, Chengdu 610500, Sichuan, Peoples R China
[2] Southwestern Univ Finance & Econ, Sch Econ & Math, Chengdu 611130, Sichuan, Peoples R China
来源
MATHEMATICS | 2019年 / 7卷 / 03期
关键词
Interval Neutrosophic Sets; distance measure; venture capital; TODIM method; multi-attribute decision-making; EXTENDED TODIM METHOD; SIMILARITY MEASURES; FUZZY-SETS; DISTANCE;
D O I
10.3390/math7030257
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
Fuzzy information in venture capital can be well expressed by neutrosophic numbers, and TODIM method is an effective tool for multi-attribute decision-making. The distance measure is an essential step in TODIM method. The keystone of this paper is to define several new distance measures, in particular the improved interval neutrosophic Euclidean distance, and these measures are applied in the TODIM method for multi-attribute decision-making. Firstly, the normalized generalized interval neutrosophic Hausdorff distance is defined and proved to be valid in this paper. Secondly, we define a weighted parameter interval neutrosophic distance and discuss whether different weight parameters affect the decision result based on TODIM method. Thirdly, considering the preference perspective of decision-makers in behavioral economics, we define the improved interval neutrosophic Euclidean distance with the known parameter of risk preference. Finally, an application example is given to compare the effects of different parameters on the result and discuss the feasibility of these two distance measures in TODIM method.
引用
收藏
页数:13
相关论文
共 50 条
  • [21] Divergence-based distance for picture fuzzy sets and its application to multi-attribute decision-making
    Luo, Minxia
    Zhang, Guofeng
    SOFT COMPUTING, 2024, 28 (01) : 253 - 269
  • [22] MULTI-ATTRIBUTE GROUP DECISION MAKING BASED ON HESITANT FUZZY SETS, TOPSIS METHOD AND FUZZY PREFERENCE RELATIONS
    Lan, Jibin
    Yang, Mian
    Hu, Mingming
    Liu, Fang
    TECHNOLOGICAL AND ECONOMIC DEVELOPMENT OF ECONOMY, 2018, 24 (06) : 2295 - 2317
  • [23] Multi-attribute decision-making method based on a novel distance measure of linguistic intuitionistic fuzzy sets
    Cheng, Yali
    Li, Yonghong
    Yang, Jie
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2021, 40 (01) : 1147 - 1160
  • [24] An extension on PROMETHEE based on the typical hesitant fuzzy sets to solve multi-attribute decision-making problem
    Mahmoudi, Amin
    Sadi-Nezhad, Soheil
    Makui, Ahmad
    Vakili, Mohammad Reza
    KYBERNETES, 2016, 45 (08) : 1213 - 1231
  • [25] Monte Carlo method for interval multi-attribute decision-making
    Diao Lianwang
    Yu Yongsheng
    Wang Xiaoxuan
    2008 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-11, 2008, : 510 - 513
  • [26] Multi-Attribute Decision Making Method Based on Neutrosophic Vague N-Soft Sets
    Liu, Jianbo
    Chen, Yanan
    Chen, Ziyue
    Zhang, Yanyan
    SYMMETRY-BASEL, 2020, 12 (05):
  • [27] The Interval Cognitive Network Process for Multi-Attribute Decision-Making
    Qi, Xiuli
    Yin, Chengxiang
    Cheng, Kai
    Liao, Xianglin
    SYMMETRY-BASEL, 2017, 9 (10):
  • [28] A new decision analysis framework for multi-attribute decision-making under interval uncertainty
    Pan, Xiao-Hong
    He, Shi-Fan
    Wang, Ying-Ming
    FUZZY SETS AND SYSTEMS, 2024, 480
  • [29] Preference-based multi-attribute decision-making method with spherical-Z fuzzy sets for green product design
    Huang, Zhongwei
    Zhang, Honghao
    Wang, Danqi
    Yu, Hao
    Wang, Lingyu
    Yu, Dongtao
    Peng, Yong
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2023, 126
  • [30] TODIM Multi-attribute Decision-Making Method Based on Spherical Fuzzy Sets
    Zhang, Wenyu
    Luo, Weina
    Gao, Xue
    Zhang, Changyou
    Wang, Keya
    ADVANCES IN NATURAL COMPUTATION, FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, ICNC-FSKD 2022, 2023, 153 : 428 - 436