A novel application of intuitionistic fuzzy sets theory in medical science: Bacillus colonies recognition | Zendy

Hoda Davarzani | Zendy; Mohammadreza Amiri Khorheh | Zendy

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A novel application of intuitionistic fuzzy sets theory in medical science: Bacillus colonies recognition

Author(s) -

Hoda Davarzani,

Mohammadreza Amiri Khorheh

Publication year - 2013

Publication title -

artificial intelligence research

Language(s) - English

Resource type - Journals

eISSN - 1927-6982

pISSN - 1927-6974

DOI - 10.5430/air.v2n2p1

Subject(s) - reliability (semiconductor) , fuzzy logic , identification (biology) , pattern recognition (psychology) , artificial intelligence , mathematics , process (computing) , computer science , bacilli , data mining , biology , power (physics) , physics , botany , genetics , quantum mechanics , bacteria , operating system

This paper addresses four new distance measures as tools in pattern recognition for intuitionistic fuzzy sets (IFSs). Following the discussion on literature of distance measures, proposed measurement scales and the proof of their properties would be presented. In order to show the reliability of addressed formulations, this paper employs them in a part of medical diagnosis progress in bacillus colonies identification. The performed experiments test validity and reliability of the proposed models by running pattern recognition process on sixty cases of four different bacilli. Resulted outcomes by IFSs approach are compared with similar measures in regular fuzzy. Numerical comparisons reveal effectiveness of the proposed distance measurement scales and related pattern recognition progress.

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