Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Modal Logic to Evaluate a Knowledge‐Based Bridge Rating System
Knowledge acquisition has been recognized as a major bottleneck in the development of effective knowledge‐based systems in recent years. Therefore, many researchers are investigating knowledge‐acquisition methodologies to overcome this problem. In this article, a flexible method for expressing empirical knowledge related to bridge rating acquired from questionnaires filled out by bridge rating experts is proposed by relating the knowledge to a membership function based on fuzzy‐set theory. In this method, a membership function is regarded as a possibility distribution based on a theory of possibility, and an apparent possibility distribution expressed by an extended II function is transformed into possibility measure distribution and necessity measure distribution utilizing a concept of modal logic. Furthermore, the proposed method has been applied to a questionnaire survey conducted to evaluate the serviceability of an existing bridge. The validity of the method has been verified through comparison between the subjective rating results acquired from application of the method and objective rating results obtained from nondestructive tests conducted for evaluating the serviceability of the same bridge.
Modal Logic to Evaluate a Knowledge‐Based Bridge Rating System
Knowledge acquisition has been recognized as a major bottleneck in the development of effective knowledge‐based systems in recent years. Therefore, many researchers are investigating knowledge‐acquisition methodologies to overcome this problem. In this article, a flexible method for expressing empirical knowledge related to bridge rating acquired from questionnaires filled out by bridge rating experts is proposed by relating the knowledge to a membership function based on fuzzy‐set theory. In this method, a membership function is regarded as a possibility distribution based on a theory of possibility, and an apparent possibility distribution expressed by an extended II function is transformed into possibility measure distribution and necessity measure distribution utilizing a concept of modal logic. Furthermore, the proposed method has been applied to a questionnaire survey conducted to evaluate the serviceability of an existing bridge. The validity of the method has been verified through comparison between the subjective rating results acquired from application of the method and objective rating results obtained from nondestructive tests conducted for evaluating the serviceability of the same bridge.
Modal Logic to Evaluate a Knowledge‐Based Bridge Rating System
Kushida, Moriyoshi (Autor:in) / Miyamoto, Ayaho (Autor:in)
Computer‐Aided Civil and Infrastructure Engineering ; 13 ; 227-236
01.07.1998
10 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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