篇名 | Location Selection – A Fuzzy Clustering Approach |
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卷期 | 10:2 |
作者 | Vikas Kapoor 、 Shyam S. Tak 、 Vibhu Sharma |
頁次 | 123-128 |
關鍵字 | Fuzzy C-Means Clustering 、 Location Selection 、 EI 、 SCI 、 SCIE 、 Scopus |
出刊日期 | 200806 |
This paper uses the well-established Fuzzy C-Means Clustering Algorithm for suggesting a heuristic that effectively zeroes down upon a set of viable locations out of several alternatives. Besides the list of desirable location candidates, the methodology also provides a list of totally inappropriate alternatives that must be weeded out from the process of selection. The paper also proposes a self-devised scoring mechanism that is used to rank the short-listed locations. The proposed methodology is validated on three problems, and an example is presented.