Results 21 to 30 of about 55,867 (209)
Mathematics, 2019 We introduce the concepts of a bipolar fuzzy reflexive, symmetric, and transitive relation. We study bipolar fuzzy analogues of many results concerning relationships between ordinary reflexive, symmetric, and transitive relations.
Jeong-Gon Lee, Kul Hur
doaj +1 more source
Molecules, 2020 Wine data are usually characterized by high variability, in terms of compounds and concentration ranges. Chemometric methods can be efficiently used to extract and exploit the meaningful information contained in such data.
Ioana Feher +4 more
doaj +1 more source
Average-Based Fuzzy Time Series Markov Chain Based on Frequency Density Partitioning
Journal of Applied Mathematics, 2023 Fuzzy time series (FTS) is one of the forecasting methods that has been developed until now. The fuzzy time series is a forecasting method that uses the concept of fuzzy logic, which Song and Chissom first introduced.
Susilo Hariyanto +3 more
doaj +1 more source
A Definition for Hesitant fuzzy Partitions
International Journal of Computational Intelligence Systems, 2016 In this paper, we define hesitant fuzzy partitions (H-fuzzy partitions) to consider the results of standard fuzzy clustering family (e.g. fuzzy c-means and intuitionistic fuzzy c-means).
Laya Aliahmadipour +3 more
doaj +1 more source
Triangular Fuzzy Time Series for Two Factors High-order based on Interval Variations
JTAM (Jurnal Teori dan Aplikasi Matematika), 2022 Fuzzy time series (FTS) firstly introduced by Song and Chissom has been developed to forecast such as enrollment data, stock index, air pollution, etc. In forecasting FTS data several authors define universe of discourse using coefficient values with any
A. Nafis Haikal +4 more
doaj +1 more source
Possibilistic and fuzzy clustering methods for robust analysis of non-precise data [PDF]
, 2017 This work focuses on robust clustering of data affected by imprecision. The imprecision is managed in terms of fuzzy sets. The clustering process is based on the fuzzy and possibilistic approaches.
Ferraro, MARIA BRIGIDA, Giordani, Paolo
core +1 more source
Applied Sciences, 2020 We present a Geographical Information System (GIS)-based framework implementing a Mamdani fuzzy rule-based system to partition in an unsupervised mode an urban system in urban green areas.
Barbara Cardone, Ferdinando Di Martino
doaj +1 more source
Preimage Problem Inspired by the F-Transform
Mathematics, 2022 In this article, we focus on discrete data processing. We propose to use the concept of closeness, which is less restrictive than a metric, to describe a certain relationship between objects.
Jiří Janeček, Irina Perfilieva
doaj +1 more source
A Modular Programmable CMOS Analog Fuzzy Controller Chip [PDF]
, 1999 We present a highly modular fuzzy inference analog CMOS chip architecture with on-chip digital programmability. This chip consists of the interconnection of parameterized instances of two different kind of blocks, namely label blocks and rule blocks. The
Delgado Restituto, Manuel +3 more
core +5 more sources
JISKA (Jurnal Informatika Sunan Kalijaga), 2019 Clustering adalah metode yang membagi objek data ke dalam kelompok berdasarkan informasi yang ditemukan dalam data yang menggambarkan objek dan hubungan di antara mereka.
Max Teja Ajie Cipta Widiyanto
doaj +1 more source