Expert scheduling of petroleum support vessels for offshore applications

被引：0

作者：

Bogarin, JA ^{[1
]}

Ebecken, NFF ^{[1
]}

机构：

[1] Univ Fed Rio de Janeiro, COPPE, BR-21941 Rio De Janeiro, Brazil

来源：

1998 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AT THE IEEE WORLD CONGRESS ON COMPUTATIONAL INTELLIGENCE - PROCEEDINGS, VOL 1-2 | 1998年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents an expert system model designed for wide geographic sparse scheduling applications. Fuzzy logic and knowledge based formalism are combined with classical solving tools (e.g. constraint analysis rules, date propagation and incremental search) in order to reduce the computational cost and enhance the efficiency of the solving procedure. This solving paradigm have been implemented and validated in a "fuzzy knowledge based system for offshore support vessel scheduling" for petroleum industry applications.

引用

页码：1048 / 1053

页数：6

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