K
Kamran Shahanaghi
Researcher at Iran University of Science and Technology
Publications - 93
Citations - 1683
Kamran Shahanaghi is an academic researcher from Iran University of Science and Technology. The author has contributed to research in topics: Fuzzy logic & Facility location problem. The author has an hindex of 19, co-authored 91 publications receiving 1412 citations.
Papers
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Extension of VIKOR method for decision making problem with interval numbers
TL;DR: In this article, the authors extend the VIKOR method for decision making problems with interval number and propose a ranking index based on the particular measure of "closeness" to the ideal solution.
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Integrating fuzzy TOPSIS and multi-period goal programming for purchasing multiple products from multiple suppliers
TL;DR: A two-phase approach for supplier selection and order allocation problem under a fuzzy environment is proposed for a problem in which a single buyer orders multiple products from multiple suppliers in multiple periods.
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Tourist arrival forecasting by evolutionary fuzzy systems.
TL;DR: This study presents a hybrid artificial intelligence (AI) model to develop a Mamdani-type fuzzy rule-based system to forecast tourist arrivals with high accuracy to be considered as a suitable tool for tourism arrival forecasting problems.
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Failure modeling and optimizing preventive maintenance strategy during two-dimensional extended warranty contracts
TL;DR: In this article, the authors proposed a mathematical optimization model to derive optimal number and degrees of preventive repairs to minimize the service provider's servicing cost, and provided some guidelines to help the extended warranty provider to design flexible extended warranty contracts and determine their corresponding optimal maintenance strategies.
Proceedings Article
A new method for location selection : A hybrid analysis
TL;DR: In this article, a hybrid method of multi-criteria decision making (MCDM) is proposed to select the optimal location that satisfies the decision maker with the aid of fuzzy AHP, considering objective, critical and subjective factors as the three main common factors in location analysis.