APPROXIMATE KNOWLEDGE IN LEXIT, AN EXPERT SYSTEM FOR ASSESSING MARINE LUBRICANT QUALITY AND DIAGNOSING ENGINE FAILURES

被引：3

作者：

JAKOPOVIC, J

BOZICEVIC, J

机构：

[1] INA REFINERY RIJEKA, DEPT PROD DEV, Rijeka, Croatia, YUGOSLAVIA

[2] UNIV ZAGREB, FAC TECHNOL, INST CHEM ENGN, DEPT MEASUREMENT & CONTROL, YU-41001 Zagreb, Croatia, YUGOSLAVIA

来源：

COMPUTERS IN INDUSTRY | 1991年 / 17卷 / 01期

关键词：

EXPERT SYSTEMS; FUZZY RELATIONS; FUZZY EXPERT SYSTEMS; FUZZY LOGIC; MARINE ENGINE; FAILURE DIAGNOSIS;

D O I：

10.1016/0166-3615(91)90102-F

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

An approach to dealing with approximate knowledge while developing an expert system for assessing the quality of marine lubricant as well as diagnosing possible engine failures is introduced. The system is implemented by employing the theory of fuzzy sets and an originally developed algorithm.

引用

页码：43 / 47

页数：5

共 23 条

[1]

AYRAL TE, 1989, HYDROCARB PROCESS, V68, P61

[2] REASONING WITH UNCERTAINTY IN EXPERT SYSTEMS [J].