Abstract: The aim of this paper is to investigate the multiple criteria group decision-making problem in which the evaluation values provided by experts construct some hesitant fuzzy numbers. We first ...
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How to use fuzzy matching in Power Query to clean up Excel data
Merge lists even with typos and inconsistent names. Tune the similarity threshold, use a transform table, and audit results ...
Fuzzy Zoeller, a two-time major champion in pro golf who won the Masters during his first appearance at the event, died Thursday. He was 74. The PGA Tour confirmed Zoeller's death, with commissioner ...
Zoeller saw his legacy tainted by a racially insensitive comment about Tiger Woods in 1997. Logan Riely / Getty Images Golfer Frank “Fuzzy” Zoeller, a two-time major championship winner whose legacy ...
Clustering is an unsupervised machine learning technique used to organize unlabeled data into groups based on similarity. This paper applies the K-means and Fuzzy C-means clustering algorithms to a ...
Abstract: Fuzzy C-Means algorithm (FCM) is one of the most commonly used fuzzy clustering algorithm, which uses the alternating optimization algorithm to update the membership matrix and the cluster ...
Last year, fashion publications wrote extensively about the impact of the algorithm on personal style. (Vogue Business included.) In last year’s fashion conversation, ‘the algorithm’ surpassed its ...
Fuzzy Word Matcher (FWM) is a Java-based library designed to efficiently find the most similar word from a given list of words using fuzzy logic. This library provides flexibility by allowing users to ...
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