Fuzzy Ontology Building and Integration for Fuzzy Inference Systems in Weather Forecast Domain

被引：0

作者：

Hai Bang Truong ^{[1
]}

Ngoc Thanh Nguyen ^{[2
]}

Phi Khu Nguyen ^{[3
]}

机构：

[1] Univ Informat Technol, Ho Chi Minh City, Vietnam

[2] Wroclaw Univ Technol, Inst Informat, Wroclaw, Poland

[3] Univ Informat Technol, Ho Chi Minh City, Vietnam

来源：

INTELLIGENT INFORMATION AND DATABASE SYSTEMS, ACIIDS 2011, PT I | 2011年 / 6591卷

关键词：

Weather; Weather ontology; Fuzzy ontology; Ontology alignment; and Fuzzy Inference System;

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：

Weather forecast is an environment where there are inevitable uncertainties associated with weather phenomena. In such a fuzzy environment, inference systems for weather forecast and its evaluation have been explored to tackle difficult major in formulating forecast policy, and to cope up with vague and/or abnormal (chaotic) meteorological information. In this paper, a framework of building a fuzzy ontology for representing the meteorological knowledge is proposed. The weather fuzzy inference system has been suggested, which takes the fuzzy ontology and the corresponding instances as its knowledge base. A method for fuzzy ontology integration is introduced for solving inconsistency among weather services' knowledge.

引用

页码：517 / 527

页数：11

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