Conflict analysis under one-vote veto based on approximate three-way concept lattice

被引:82
作者
Zhi, Huilai [1 ]
Qi, Jianjun [2 ]
Qian, Ting [3 ]
Ren, Ruisi [4 ]
机构
[1] Henan Polytech Univ, Sch Comp Sci & Technol, Jiaozuo 454000, Henan, Peoples R China
[2] Xidian Univ, Sch Comp Sci & Technol, Xian 710071, Peoples R China
[3] Xian Shiyou Univ, Coll Sci, Xian 710065, Peoples R China
[4] Northwest Univ, Sch Math, Xian 710069, Peoples R China
基金
中国国家自然科学基金;
关键词
Conflict analysis; One-vote veto; Three-way concept analysis; Approximate three-way concept; FUZZY GRAPH REPRESENTATION; DECISION; CONTEXTS; MODEL; SETS;
D O I
10.1016/j.ins.2019.12.065
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Conflict analysis, which plays an important role in our society, has attracted more and more attentions. However, the existing conflict analysis models are not effective enough to evaluate the inconsistency degree of cliques that have more than two individuals. Besides, for each clique, its allied, conflict and neutral attributes have not been explicitly defined and thoroughly explored. Therefore, due to the lack of enough explicit clues, we cannot further formulate some strategies manipulating the conflict degrees of related cliques to realize the specific objectives. Last but not least, one-vote veto is seldom considered, although it plays a vital role in many fields, such as venture capital and United Nations Security Council resolutions. In order to solve these problems, we resort to three-way concept analysis and describe a clique by using the intent of a specific concept. On the basis of the obtained specific concepts, we derive the allied, conflict and neutral attributes of cliques, and further make decisions and explore the maximal coalitions and minimum conflict sets. Finally, in order to cater dynamic environment, we also describe an incremental algorithm for conflict analysis. (C) 2019 Elsevier Inc. All rights reserved.
引用
收藏
页码:316 / 330
页数:15
相关论文
共 50 条
[11]   A Novel Interval Three-Way Concept Lattice Model with Its Application in Medical Diagnosis [J].
Hu, Junhua ;
Chen, Dan ;
Liang, Pei .
MATHEMATICS, 2019, 7 (01)
[12]   Quantifying conflicts in propositional logic through prime implicates [J].
Jabbour, Said ;
Ma, Yue ;
Raddaoui, Badran ;
Sais, Lakhdar .
INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 2017, 89 :27-40
[13]   Semantic operations of multiple soft sets under conflict [J].
Jiang, Yuncheng ;
Tang, Yong ;
Chen, Qimai ;
Cao, Zhanmao .
COMPUTERS & MATHEMATICS WITH APPLICATIONS, 2011, 62 (04) :1923-1939
[14]  
Karp RM., 1972, REDUCIBILITY COMBINA, P85
[15]  
Lang G.M., 2019, IEEE T FUZZY SYSTEMS
[16]   Three-way decision approaches to conflict analysis using decision-theoretic rough set theory [J].
Lang, Guangming ;
Miao, Duoqian ;
Cai, Mingjie .
INFORMATION SCIENCES, 2017, 406 :185-207
[17]   Incomplete decision contexts: Approximate concept construction, rule acquisition and knowledge reduction [J].
Li, Jinhai ;
Mei, Changlin ;
Lv, Yuejin .
INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 2013, 54 (01) :149-165
[18]   Intuitionistic fuzzy rough set model based on conflict distance and applications [J].
Liu, Yong ;
Lin, Yi .
APPLIED SOFT COMPUTING, 2015, 31 :266-273
[19]   Some remarks on conflict analysis [J].
Pawlak, Z .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2005, 166 (03) :649-654
[20]   An inquiry into anatomy of conflicts [J].
Pawlak, Z .
INFORMATION SCIENCES, 1998, 109 (1-4) :65-78