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JCR 2016
جستجوی مقالات
شنبه 22 آذر 1404
Iranian Journal of Fuzzy Systems
، جلد ۸، شماره ۴، صفحات ۹-۳۷
عنوان فارسی
ALGORITHMS FOR BIOBJECTIVE SHORTEST PATH PROBLEMS IN FUZZY NETWORKS
چکیده فارسی مقاله
We consider biobjective shortest path problems in networks with fuzzy arc lengths. Considering the available studies for single objective shortest path problems in fuzzy networks, using a distance function for comparison of fuzzy numbers, we propose three approaches for solving the biobjective prob- lems. The rst and second approaches are extensions of the labeling method to solve the single objective problem and the third approach is based on dynamic programming. The labeling methods usually producing several nondominated paths, we propose a fuzzy number ranking method to determine a fuzzy short- est path. Illustrative examples are worked out to show the eectiveness of our algorithms.
کلیدواژههای فارسی مقاله
عنوان انگلیسی
ALGORITHMS FOR BIOBJECTIVE SHORTEST PATH PROBLEMS IN FUZZY NETWORKS
چکیده انگلیسی مقاله
We consider biobjective shortest path problems in networks with fuzzy arc lengths. Considering the available studies for single objective shortest path problems in fuzzy networks, using a distance function for comparison of fuzzy numbers, we propose three approaches for solving the biobjective prob- lems. The rst and second approaches are extensions of the labeling method to solve the single objective problem and the third approach is based on dynamic programming. The labeling methods usually producing several nondominated paths, we propose a fuzzy number ranking method to determine a fuzzy short- est path. Illustrative examples are worked out to show the eectiveness of our algorithms.
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نویسندگان مقاله
ایرج مهدوی |
department of industrial engineering, mazandaran university of sci- ence amp;amp; technology, babol, iran
سازمان اصلی تایید شده
: دانشگاه مازندران (Mazandaran university)
نظام مهدوی امیری | mahdavi amiri
faculty of mathematical sciences, sharif university of tech- nology, tehran, iran
شهربانو نجاتی |
department of industrial engineering, mazandaran university of science amp;amp; technology, babol, iran
سازمان اصلی تایید شده
: دانشگاه مازندران (Mazandaran university)
نشانی اینترنتی
http://ijfs.usb.ac.ir/article_306_645249d97ea17b67c4eb5772a11928ac.pdf
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