An Fuzzy Lexical Research
L.Latha1, Preethi M2, Grahalakshmi R3
1L.Latha, Professor, Department of CSE, Kumaraguru College of Technology, Coimbatore (Tamil Nadu), India.
2Preethi M, UG Student, Kumaraguru College of Technology, Coimbatore (Tamil Nadu), India.
3Grahalakshmi R, UG Student, Kumaraguru College of Technology, Coimbatore (Tamil Nadu), India.
Manuscript received on 28 September 2019 | Revised Manuscript received on 10 November 2019 | Manuscript Published on 22 November 2019 | PP: 1209-1211 | Volume-8 Issue-6S3 September 2019 | Retrieval Number: F12050986S319/19©BEIESP | DOI: 10.35940/ijeat.F1205.0986S319
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The objective of this paper is to analyse the design and implementation of the fuzzy lexical analyser and observe how it is different from the traditional lexical analyser. It is known that lexical analysis is an important phase of a compiler. It reads the source program character by character and uses regular expressions, finite automata methods for string matching. Unlike traditional lexical analysers, tokens in fuzzy analysers belong to more than one token type with varying degree of membership. The paper exchange views on the design and implementation of fuzzy lexical analysers. It observes algorithms that handle errors due to insertion, deletion etc. in the lexical analysis phase of a compiler. Several properties of fuzzy languages are also reviewed. Hence this paper gives a comprehensive view of fuzzy regular languages, models and algorithms
Keywords: Fuzzy Research Program Implementation.
Scope of the Article: Fuzzy Logics