A Study on Performance Assessment Methods by Using Fuzzy Logic

Kim, Kwang-Baek; Cheol-Ki, Kim; Moon, Jung Wook

doi:10.5391/ijfis.2003.3.2.138

Cited by 1 publication

(1 citation statement)

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“…PAL (Protégé Axiom Language) is used to write axioms in Protégé (a well known ontology development tool by Stanford university) [14]. PAL is basically a constraint language that is used to enforce the semantic properties of knowledgebase encoded in Protégé [11]. These axioms are based on mathematical notation.…”

Section: Fuzzymentioning

confidence: 99%

Incorporation of Fuzzy Theory with Heavyweight Ontology and Its Application on Vague Information Retrieval for Decision Making

Bukhari¹,

Kim²

2011

International Journal of Fuzzy Logic and Intelligent Systems

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The decision making process is based on accurate and timely available information. To obtain precise information from the internet is becoming more difficult due to the continuous increase in vagueness and uncertainty from online information resources. This also poses a problem for blind people who desire the full use from online resources available to other users for decision making in their daily life. Ontology is considered as one of the emerging technology of knowledge representation and information sharing today. Fuzzy logic is a very popular technique of artificial intelligence which deals with imprecision and uncertainty. The classical ontology can deal ideally with crisp data but cannot give sufficient support to handle the imprecise data or information. In this paper, we incorporate fuzzy logic with heavyweight ontology to solve the imprecise information extraction problem from heterogeneous misty sources. Fuzzy ontology consists of fuzzy rules, fuzzy classes and their properties with axioms. We use Fuzzy OWL plug-in of Protégé to model the fuzzy ontology. A prototype is developed which is based on OWL-2 (Web Ontology Language-2), PAL (Protégé Axiom Language), and fuzzy logic in order to examine the effectiveness of the proposed system.

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Section: Fuzzymentioning

confidence: 99%