Comparison of two Defuzzification methods of Mean of Max and Central Average in Morphology of composition functions in Persian Sentences
Publish place: Journal of Advances in Computer Research، Vol: 11، Issue: 2
Publish Year: 1399
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:
JR_JACR-11-2_002
تاریخ نمایه سازی: 13 اردیبهشت 1400
Abstract:
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 ۰ and ۱ computations, putting them within an infinite space of between ۰,۱. 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 ۶۴% proved to be a defuzzifier delivering the best output among two different defuzzification methods. ** * * * * * * * * * * * * * * * * * * ****** * * * * * * * * *
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Authors
Pardis Pirayesh
Department of Computer Engineering, Sari Branch, Islamic Azad University, Sari, Iran
Homayun Motameni
Department of Computer Engineering, Sari Branch, Islamic Azad University, Sari, Iran
Ebrahim Akbari
Department of Computer Engineering, Sari Branch, Islamic Azad University, Sari, Iran