Research On Fuzzy System Modeling Based On Formal Method

With the continuous development of technology,computer software and hardware systems have attained pivotal roles in various sectors such as commerce,finance,and industry.With the continual enhancement of real-time processing capabilities,these systems are gradually becoming more complex,thereby facing mounting challenges in verifying their accuracy and stability.Computer hardware and software systems have wide applications in all relevant fields such as traffic management,ecommerce,manned spaceflight,and nuclear safety control,the failure of these crucial systems may result in unforeseeable grave consequences.Consequently,ensuring the accuracy and reliability of computer software and hardware systems becomes of paramount importance.To meet the demands of these systems,establishing precise quantitative models is required.Typically,these models are based on the quantitative attributes of physical quantities,such as trends and ranges,as well as corresponding quantitative temporal logic,including time constraints and quantity restrictions.Integrating these attributes and logic into system models enables a more accurate portrayal of system behavior and characteristics,thus enhancing system reliability and correctness.However,in certain cases,system specifications and constraints may encompass ambiguous or uncertain information,rendering traditional quantitative model methods incapable of verifying the functionality of vague systems.To address this issue,this paper combines fuzzy theory with formal verification methods to tackle the uncertainty and unreliability within systems and investigates the modeling problem of combining formal language XYZ/ADL with fuzzy systems based on existing research.The primary subjects of investigation within this article are delineated as follows:(1)The thesis introduces the integration method of fuzzy systems and formal techniques and their current status in mainstream computer hardware and software systems,proposing a way to improve these techniques for application in constructing system models.(2)A fuzzy system modeling method is proposed,utilizing the formal method language XYZ/ADL for fuzzy system modeling and providing a set of models and verification analysis methods based on this idea,effectively achieving the automation and efficiency of fuzzy system modeling.By introducing formal methods,the previously encountered inaccuracies and unreliabilities in model construction are resolved,thereby enhancing model performance.(3)To demonstrate the feasibility of the proposed modeling method in real environments,this paper uses an elevator as an example,employing XYZ/ADL formal language for comprehensive descriptions of its functional specifications,structural models,dynamic models,and operational models.The study results indicate that the proposed XYZ/ADL formal model can precisely parse the relationships between complex components within fuzzy systems and accurately simulate system states,providing reliable support for in-depth understanding and predicting system behavior.This research offers valuable insights for further refining formal verification methods and techniques,laying a solid foundation for ensuring the accuracy and reliability of software and hardware systems.