Langwangqing Suo , Han Yang , Qiaoyi Li , Hai-Long Yang , Yiyu Yao
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引用次数: 0
Abstract
A theory of three-way decision is about thinking, problem-solving, and computing in threes or through triads. In this paper, we review fifteen years of research on three-way decision by using the philosophy-theory-application triad and the who-what-when triad. First, we discuss the philosophy, theory, and application of three-way decision. At the philosophy level, we delve into the philosophical roots and fundamental nature of three-way decision to reveal the underlying philosophical thinking. At the theory level, we provide an insightful analysis of the theory and methodology of three-way decision. At the application level, we examine the integration of three-way decision with other theories and their applications and effectiveness in real-world scenarios. Second, we focus on bibliometrics analytics by using the who-what-when triad, which attempts to answer a fundamental question of “who did what when”. We propose a model by applying the method of three-way decision. The first 3 is the author-topic-time triad. The second 3 represents a three-level analysis for each of the first three: (1) categorizing authors into the three levels of prolific authors, frequent authors, and occasional authors, (2) classifying topics into the three levels of the core topics, emerging topics, and to-be-explored topics, and (3) dividing articles into the three levels of initial investigations, further developments, and most recent studies. Finally, we perform a bibliometrics analysis of three-way decision articles by using the model of three-way decision. The results not only reveal the current status and trend of three-way decision research but also provide a road map for future research.
期刊介绍:
The International Journal of Approximate Reasoning is intended to serve as a forum for the treatment of imprecision and uncertainty in Artificial and Computational Intelligence, covering both the foundations of uncertainty theories, and the design of intelligent systems for scientific and engineering applications. It publishes high-quality research papers describing theoretical developments or innovative applications, as well as review articles on topics of general interest.
Relevant topics include, but are not limited to, probabilistic reasoning and Bayesian networks, imprecise probabilities, random sets, belief functions (Dempster-Shafer theory), possibility theory, fuzzy sets, rough sets, decision theory, non-additive measures and integrals, qualitative reasoning about uncertainty, comparative probability orderings, game-theoretic probability, default reasoning, nonstandard logics, argumentation systems, inconsistency tolerant reasoning, elicitation techniques, philosophical foundations and psychological models of uncertain reasoning.
Domains of application for uncertain reasoning systems include risk analysis and assessment, information retrieval and database design, information fusion, machine learning, data and web mining, computer vision, image and signal processing, intelligent data analysis, statistics, multi-agent systems, etc.