Comparison of two Defuzzification methods of Mean of Max and Central Average in Morphology of composition functions in Persian Sentences

Journal of Advances in Computer Research

مقاله 2، دوره 11، شماره 2 - شماره پیاپی 40، مرداد 2020، صفحه 17-29   

نوع مقاله: Original Manuscript

نویسندگان

Pardis Pirayesh؛ Homayun Motameni^* ؛ Ebrahim Akbari

Department of Computer Engineering, Sari Branch, Islamic Azad University, Sari, Iran

چکیده

Morphology has a special place in any language, including written and spoken applications. Markov method is used to labeingl and determine the role of words.emergence in software sciences has eliminated 0 and 1 computations, putting them within an infinite space of between 0,1. This characteristic of fuzzy logic has resolved ambiguity in numerous previous problems. The sentence roles in Persian language were specified based on the fuzzy logic’s capability to resolve ambiguity. In two defuzzification methods Mean Of Max, Central Average, the role of words in the sentence is identified and the success rate of each method is obtained. Finally, Mean Of Max with a success rate of 64% proved to be a defuzzifier delivering the best output among two different defuzzification methods. ** * * * * * * * * * * * * * * * * * * ****** * * * * * * * * *

کلیدواژه‌ها

Role؛ Defuzzifier؛ Morphology؛ Persian Sentences