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Three-Way Conflict Analysis and Resolution for Intuitionistic Fuzzy Information Systems via Three-Way Concept
This study introduces a novel three-way conflict analysis and resolution model for intuitionistic fuzzy information systems (IFISs). The model effectively identifies and resolves conflicts among multiple objects using three-way concept analysis (3WCA) and three-way decision (3WD) processes.
Area of Science:
- Information Systems
- Fuzzy Logic
- Decision Science
Background:
- Real-world complexity and uncertainty pose challenges in analyzing and resolving conflicts within fuzzy information systems (ISs).
- Existing models struggle with the inherent ambiguity and vagueness of data, necessitating advanced analytical frameworks.
- Intuitionistic fuzzy information systems (IFISs) offer a more nuanced approach to handling uncertainty compared to traditional fuzzy systems.
Purpose of the Study:
- To propose a novel three-way conflict analysis and resolution model tailored for intuitionistic fuzzy information systems (IFISs).
- To enhance the understanding and management of conflicts arising from multiple objects in uncertain environments.
- To provide a robust framework for decision-making by identifying maximal alliance units, minimal conflict units, and feasible strategies.
Main Methods:
- Defining straight and vertical distances between intuitionistic fuzzy values (IFVs) to establish an intuitionistic fuzzy probability-credibility distribution.
- Developing intuitionistic fuzzy optimistic and pessimistic formal contexts using novel binary relations for intuitionistic fuzzy information.
- Utilizing three-way concept analysis (3WCA) and three-way decision (3WD) processes, including trisections of object pairs, objects, and attributes based on threshold pairs.
- Generating intuitionistic fuzzy concept lattices to analyze marginal conflict degrees via consistency, inconsistency, and uncertainty attribute sets.
Main Results:
- The proposed model successfully analyzes marginal conflict degrees among multiple objects within IFISs.
- Identification of maximal alliance units, minimal conflict units, and feasible strategy sets based on three-way conflict analysis.
- A consistency measure derived from the intuitionistic fuzzy distance matrix enables the ranking of all feasible strategies.
- Experimental validation confirms the model's effectiveness, superiority, and feasibility in conflict resolution.
Conclusions:
- The developed three-way conflict analysis and resolution model provides an effective approach for managing conflicts in IFISs.
- The integration of 3WCA and 3WD offers a powerful mechanism for handling uncertainty and complexity in decision-making.
- The model demonstrates significant advantages over existing methods, offering superior performance in conflict analysis and resolution within uncertain environments.
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