• Title/Summary/Keyword: Fuzzy Interpreter

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Selection of Optimal Face Detection Algorithms by Fuzzy Inference (퍼지추론을 이용한 최적의 얼굴검출 알고리즘 선택기법)

  • Jang, Dae-Sik
    • Journal of the Korea Society of Computer and Information
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    • v.16 no.1
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    • pp.71-80
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    • 2011
  • This paper provides a novel approach for developers to use face detection techniques for their applications easily without special knowledge by selecting optimal face detection algorithms based on fuzzy inference. The purpose of this paper is to come up with a high-level system for face detection based on fuzzy inference with which users can develop systems easily and even without specific knowledge on face detection theories and algorithms. Important conditions are firstly considered to categorize the large problem space of face detection. The conditions identified here are then represented as expressions so that developers can use them to express various problems. The expressed conditions and available face detection algorithms constitute the fuzzy inference rules and the Fuzzy Interpreter is constructed based on the rules. Once the conditions are expressed by developers, the Fuzzy Interpreter proposed take the role to inference the conditions and find and organize the optimal algorithms to solve the represented problem with corresponding conditions. A proof-of-concept is implemented and tested compared to conventional algorithms to show the performance of the proposed approach.

Fuzzy Structured Query Language (FSQL) for Relational Database Systems (관계형 데이터베이스 시스템을 위한 퍼지 질의어 (FSQL))

  • Jung Eun-Young;Park Soon Cheol;Lee Sang Bum
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.6 no.3
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    • pp.265-269
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    • 2005
  • A fuzzy query language, called FSQL, in the relational databases is introduced in this paper. In general, database systems have query systems which are able to retrieve and manipulate precise data. However, such queries are hard to operate on the real world applications since their queries are often imprecise or incomplete. Recently, considerable attention has been given to research dealing with vagueness of the query in relational database systems. In this paper we have suggested an effective method of accepting vagueness of the query in data processing. The syntax of FSQL is formally defined with EBNF, and an interpreter of FSQL has been implemented as a prototype.

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