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Three-way conflict analysis based on alliance and conflict functions

Junfang Luo, Mengjun Hu, Guangming Lang, Xin Yang, Keyun Qin

Abstract

Trisecting agents, issues, and agent pairs are essential topics of three-way conflict analysis. They have been commonly studied based on either a rating or an auxiliary function. A rating function defines the positive, negative, or neutral ratings of agents on issues. An auxiliary function defines the alliance, conflict, and neutrality relations between agents. These functions measure two opposite aspects in a single function, leading to challenges in interpreting their aggregations over a group of issues or agents. For example, when studying agent relations regarding a set of issues, a standard aggregation takes the average of an auxiliary function concerning single issues. Therefore, a pair of alliance +1 and conflict -1 relations will produce the same result as a pair of neutrality 0 relations, although the attitudes represented by the two pairs are very different. To clarify semantics, we separate the two opposite aspects in an auxiliary function into a pair of alliance and conflict functions. Accordingly, we trisect the agents, issues, and agent pairs and investigate their applications in solving a few crucial questions in conflict analysis. Particularly, we explore the concepts of alliance sets and strategies. A real-world application is given to illustrate the proposed models.

Three-way conflict analysis based on alliance and conflict functions

Abstract

Trisecting agents, issues, and agent pairs are essential topics of three-way conflict analysis. They have been commonly studied based on either a rating or an auxiliary function. A rating function defines the positive, negative, or neutral ratings of agents on issues. An auxiliary function defines the alliance, conflict, and neutrality relations between agents. These functions measure two opposite aspects in a single function, leading to challenges in interpreting their aggregations over a group of issues or agents. For example, when studying agent relations regarding a set of issues, a standard aggregation takes the average of an auxiliary function concerning single issues. Therefore, a pair of alliance +1 and conflict -1 relations will produce the same result as a pair of neutrality 0 relations, although the attitudes represented by the two pairs are very different. To clarify semantics, we separate the two opposite aspects in an auxiliary function into a pair of alliance and conflict functions. Accordingly, we trisect the agents, issues, and agent pairs and investigate their applications in solving a few crucial questions in conflict analysis. Particularly, we explore the concepts of alliance sets and strategies. A real-world application is given to illustrate the proposed models.
Paper Structure (20 sections, 3 theorems, 99 equations, 3 figures, 19 tables)

This paper contains 20 sections, 3 theorems, 99 equations, 3 figures, 19 tables.

Key Result

Theorem 1

With respect to an issue $i\in I$, the trisections of agent pairs with an auxiliary function and with a pair of alliance and conflict functions are equivalent, that is:

Figures (3)

  • Figure 1: The lattices for alliance and conflict functions
  • Figure 2: A framework of the discussion in Section \ref{['sec:alliance_set_and_decision']}
  • Figure 3: A framework of the discussion in Section \ref{['sec:strategy']}

Theorems & Definitions (31)

  • Definition 1
  • Definition 2
  • Definition 3
  • Definition 4
  • Definition 5
  • Definition 6
  • Definition 7
  • Example 1: Pawlak's and Yao's auxiliary functions
  • Example 2: Trisections of agents, issues, and agent pairs
  • Definition 8
  • ...and 21 more