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Titlebook: Intelligent and Fuzzy Techniques: Smart and Innovative Solutions; Proceedings of the I Cengiz Kahraman,Sezi Cevik Onar,A. Cagri Tolga Confe

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樓主: 你太謙虛
11#
發(fā)表于 2025-3-23 11:53:17 | 只看該作者
Fuzzy Meets Privacy: A Short Overview methods so that disclosure does not take place..Fuzzy sets has been extensively used in all kind of applications. In this paper we review the areas in which fuzzy sets and systems can have an impact in the field of data privacy. We will review some of our contributions in the field and some open pr
12#
發(fā)表于 2025-3-23 14:51:19 | 只看該作者
13#
發(fā)表于 2025-3-23 20:24:34 | 只看該作者
14#
發(fā)表于 2025-3-23 23:16:40 | 只看該作者
15#
發(fā)表于 2025-3-24 05:52:08 | 只看該作者
Mathematical Philosophy and Fuzzy Logichat Mathematics is a part of our culture. In developed, developing and underdeveloped countries nobody can count himself truly good educated without Mathematical Concepts. Perhaps one can say that all individuals have to understand in some degree what Mathematics is and what it does. Unfortunately i
16#
發(fā)表于 2025-3-24 08:04:01 | 只看該作者
17#
發(fā)表于 2025-3-24 10:44:11 | 只看該作者
Segmentation Analysis of Companies’ Natural Gas Consumption by Soft Clusteringily life. Natural gas energy is an environmental-friendly and easy-to-use energy source. Furthermore, it is the cleanest burning of all fossil fuels. Since the amount of gas consumed by companies is much more, the companies’ consumption amount was investigated. The companies concerning the consumpti
18#
發(fā)表于 2025-3-24 16:35:13 | 只看該作者
Comparison of Fuzzy C-Means and K-Means Clustering Performance: An Application on Household Budget Sns. Finding the optimal grouping of households in a given, sufficiently large data is a challenging task for policymakers. Soft classification techniques such as Fuzzy C-means (FCM) provide a deep understanding of hidden patterns in the variable set. This study aims to compare FCM and k-means (KM) c
19#
發(fā)表于 2025-3-24 22:21:53 | 只看該作者
A Hybrid Approach for Clustering and Selecting of Cloud Services Based on User Preferences Evaluatioloud services selection problem contains several conflicting criteria, it is considered as a multi-criteria decision making (MCDM) problem. On another side, one of the most popular unsupervised data mining methods is Clustering which is used for grouping set of objects. The contribution of this pape
20#
發(fā)表于 2025-3-25 03:06:22 | 只看該作者
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