Abstraction and approximation in fuzzy temporal logics and models

Author:

Sotudeh Gholamreza1,Movaghar Ali12

Affiliation:

1. Department of Computer Engineering, Islamic Azad University (Science and Research Branch), Tehran, Iran

2. Department of Computer Engineering, Sharif University of Technology, Tehran, Iran

Abstract

Abstract Recently, by defining suitable fuzzy temporal logics, temporal properties of dynamic systems are specified during model checking process, yet a few numbers of fuzzy temporal logics along with capable corresponding models are developed and used in system design phase, moreover in case of having a suitable model, it suffers from the lack of a capable model checking approach. Having to deal with uncertainty in model checking paradigm, this paper introduces a fuzzy Kripke model (FzKripke) and then provides a verification approach using a novel logic called Fuzzy Computation Tree Logic* (FzCTL*). Not only state space explosion is handled using well-known concepts like abstraction and bisimulation, but an approximation method is also devised as a novel technique to deal with this problem. Fuzzy program graph, a generalization of program graph and FzKripke, is also introduced in this paper in consideration of higher level abstraction in model construction. Eventually modeling, and verification of a multi-valued flip-flop is studied in order to demonstrate capabilities of the proposed models.

Publisher

Association for Computing Machinery (ACM)

Subject

Theoretical Computer Science,Software

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Alloy Goes Fuzzy;Lecture Notes in Computer Science;2024

2. $$\epsilon $$-Approximate Bisimulations for Nondeterministic Fuzzy Kripke Structures;Communications in Computer and Information Science;2023-11-26

3. Falsification-Aware Semantics for Temporal Logics and Their Inconsistency-Tolerant Subsystems: Theoretical Foundations of Falsification-Aware Model Checking;International Journal of Software Engineering and Knowledge Engineering;2022-07

4. Symbolic checking of Fuzzy CTL on Fuzzy Program Graph;Acta Informatica;2018-02-03

5. Knowledge Reasoning Based on 2n-Valued Temporal Logic;Intelligent Computing Theories and Application;2018

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