详情

原文传递 USING A KNOWLEDGE-BASED EXPERT SYSTEM AND FUZZY LOGIC FOR MINOR REHABILITATION PROJECTS IN OHIO.

题名：	USING A KNOWLEDGE-BASED EXPERT SYSTEM AND FUZZY LOGIC FOR MINOR REHABILITATION PROJECTS IN OHIO.
作者：	Prechaverakul-S; Hadipriono-FC
关键词：	PAVEMENTS-; REHABILITATION-; TREATMENTS-; DECISION-PROCESS; KNOWLEDGE-BASED-SYSTEMS; EXPERT-SYSTEMS; FUZZY-LOGIC; COMPUTER-PROGRAMS; IMPLEMENTATION-
摘要：	In the selection of a proper treatment for the rehabilitation of a deteriorated pavement section, engineers may encounter a situation in which factors besides distress conditions also contribute to the decision-making process. These factors are, among others, the expected structural integrity, functional adequacy, and performance life of a pavement section. In general, engineers make their selections based on their experience, judgment, and the use of past maintenance data, if available. For young engineers, such a selection process may lead to a poor decision. Even experienced engineers may still reach erroneous results. This study presents a methodology to overcome such problems by employing a knowledge-based expert system (KBES) and fuzzy logic. A KBES serves as a preliminary selection in which a set of alternative treatments is chosen based on pavement distress conditions and other related factors. An ordinal multiobjective decision-making model using fuzzy logic is then used to recommend the proper treatment. A computer program was written to implement such a methodology.
总页数：	Transportation Research Record. 1995. (1497) pp19-26 (6 Fig., 3 Tab., 8 Ref.)
报告类型：	科技报告