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Iranian Journal of Fuzzy Systems، جلد ۵، شماره ۲، صفحات ۲۱-۳۳
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| عنوان فارسی |
GENERATING FUZZY RULES FOR PROTEIN CLASSIFICATION |
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| چکیده فارسی مقاله |
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| کلیدواژه‌های فارسی مقاله |
Amino acid sequence، Protein classification، Fuzzy rule-based classifier، |
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| عنوان انگلیسی |
GENERATING FUZZY RULES FOR PROTEIN CLASSIFICATION |
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| چکیده انگلیسی مقاله |
This paper considers the generation of some interpretable fuzzy rules
for assigning an amino acid sequence into the appropriate protein superfamily.
Since the main objective of this classifier is the interpretability of rules, we have
used the distribution of amino acids in the sequences of proteins as features.
These features are the occurrence probabilities of six exchange groups in the
sequences. To generate the fuzzy rules, we have used some modified versions of
a common approach. The generated rules are simple and understandable,
especially for biologists. To evaluate our fuzzy classifiers, we have used four
protein superfamilies from UniProt database. Experimental results show the
comprehensibility of generated fuzzy rules with comparable classification
accuracy. |
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| کلیدواژه‌های انگلیسی مقاله |
Amino acid sequence, Protein classification, Fuzzy rule-based classifier |
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| نویسندگان مقاله |
اقبال g منصوری | g mansoori
computer science and engineering department, college of engineering, shiraz university, shiraz, iran
سازمان اصلی تایید شده: دانشگاه شیراز (Shiraz university)
منصور j ذوالقدری | mansoor j
computer science and engineering department, college of engineering, shiraz university, shiraz, iran
سازمان اصلی تایید شده: دانشگاه شیراز (Shiraz university)
سراج d کاتبی | seraj d
computer science and engineering department, college of engineering, shiraz university, shiraz, iran
سازمان اصلی تایید شده: دانشگاه شیراز (Shiraz university)
حسن محبت کار |
biology department, college of science, shiraz university, shiraz, iran
سازمان اصلی تایید شده: دانشگاه شیراز (Shiraz university)
رضا بوستانی |
computer science and engineering department, college of engineering, shiraz university, shiraz, iran
سازمان اصلی تایید شده: دانشگاه شیراز (Shiraz university)
محمد حسین صدرالدینی | mohammad h
computer science and engineering department, college of engineering, shiraz university, shiraz, iran
سازمان اصلی تایید شده: دانشگاه شیراز (Shiraz university)
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| نشانی اینترنتی |
http://ijfs.usb.ac.ir/article_325_c5e79ee9562ba9d7cc118a49b9ada1c0.pdf |
| فایل مقاله |
اشکال در دسترسی به فایل - ./files/site1/rds_journals/448/article-448-132029.pdf |
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| زبان مقاله منتشر شده |
fa |
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