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622 Results Found

  • Article
  • Open Access
32 Citations
10,228 Views
19 Pages

18 May 2011

Clustering is an important mechanism that efficiently provides information for mobile nodes and improves the processing capacity of routing, bandwidth allocation, and resource management and sharing. Clustering algorithms can be based on such criteri...

  • Article
  • Open Access
3 Citations
2,462 Views
14 Pages

In this research, we propose a GIS-based framework implementing a fuzzy-based document classification method aimed at classifying urban areas by the type of criticality inherent or specific problems highlighted by citizens. The urban study area is di...

  • Article
  • Open Access
7 Citations
2,422 Views
16 Pages

10 May 2023

Many sentiment analysis methods have been proposed recently to evaluate, through the Web, the perceptions of users and their satisfaction with the use of products and services; these approaches have been applied in various fields in which it is neces...

  • Article
  • Open Access
15 Citations
3,208 Views
20 Pages

Analog Circuit Fault Diagnosis Based on Support Vector Machine Classifier and Fuzzy Feature Selection

  • Hao Liang,
  • Yiman Zhu,
  • Dongyang Zhang,
  • Le Chang,
  • Yuming Lu,
  • Xingfa Zhao and
  • Yu Guo

In analog circuit, the component parameters have tolerances and the fault component parameters present a wide distribution, which brings obstacle to classification diagnosis. To tackle this problem, this article proposes a soft fault diagnosis method...

  • Article
  • Open Access
2 Citations
1,659 Views
22 Pages

17 August 2023

Relevant attribute selection in machine learning is a key aspect aimed at simplifying the problem, reducing its dimensionality, and consequently accelerating computation. This paper proposes new algorithms for selecting relevant features and evaluati...

  • Article
  • Open Access
11 Citations
3,587 Views
18 Pages

Ensemble Fuzzy Feature Selection Based on Relevancy, Redundancy, and Dependency Criteria

  • Omar A. M. Salem,
  • Feng Liu,
  • Yi-Ping Phoebe Chen and
  • Xi Chen

9 July 2020

The main challenge of classification systems is the processing of undesirable data. Filter-based feature selection is an effective solution to improve the performance of classification systems by selecting the significant features and discarding the...

  • Article
  • Open Access
3 Citations
2,661 Views
17 Pages

A GIS-Based Emotion Detection Framework for Multi-Risk Analysis in Urban Settlements

  • Barbara Cardone,
  • Ferdinando Di Martino and
  • Vittorio Miraglia

The application of sentiment analysis approaches to information flows extracted from the social networks connected to particular critical periods generated by pandemic, climatic and extreme environmental phenomena allow the decision maker to detect t...

  • Article
  • Open Access
8 Citations
1,363 Views
12 Pages

This paper’s findings are related to geometric function theory (GFT). We employ one of the most recent methods in this area, the fuzzy admissible functions methodology, which is based on fuzzy differential subordination, to produce them. To do...

  • Article
  • Open Access
19 Citations
3,934 Views
8 Pages

Fuzzy Normed Rings

  • Aykut Emniyet and
  • Memet Şahin

16 October 2018

In this paper, the concept of fuzzy normed ring is introduced and some basic properties related to it are established. Our definition of normed rings on fuzzy sets leads to a new structure, which we call a fuzzy normed ring. We define fuzzy normed ri...

  • Article
  • Open Access
4 Citations
4,646 Views
12 Pages

31 May 2018

We present a new method for assessing the strength of fuzzy rules with respect to a dataset, based on the measures of the greatest energy and smallest entropy of a fuzzy relation. Considering a fuzzy automaton (relation), in which A is the input fuzz...

  • Article
  • Open Access
4 Citations
1,591 Views
16 Pages

13 February 2025

In this manuscript, we analyze fuzzy-fixed-point results for fuzzy-mappings under some fuzzy contraction conditions in the setting of a complete fuzzy metric space. Fuzzy-fixed-point techniques are used in mathematical modeling to solve problems wher...

  • Article
  • Open Access
13 Citations
2,540 Views
9 Pages

16 September 2020

The main goal of this paper is to introduce the notion of intuitionistic fuzzy normed rings and to establish basic properties related to it. We extend normed rings by incorporating the idea of intuitionistic fuzzy to normed rings, we develop a new st...

  • Article
  • Open Access
22 Citations
3,307 Views
17 Pages

24 July 2021

In this article, the evolution in both space and time of the COVID-19 pandemic is studied by utilizing a neural network with a self-organizing nature for the spatial analysis of data, and a fuzzy fractal method for capturing the temporal trends of th...

  • Article
  • Open Access
1,264 Views
22 Pages

26 August 2024

In risk assessment, numerous subfactors influence the probabilities of the main factors. These main factors reflect adverse outcomes, which are essential in risk assessment. A Bayesian network can model the entire set of subfactors and their intercon...

  • Article
  • Open Access
1 Citations
1,312 Views
11 Pages

Stability is the most relevant property of dynamical systems. The stability of stochastic differential equations is a challenging and still open problem. In this article, using a fuzzy Mittag–Leffler function, we introduce a new fuzzy controlle...

  • Article
  • Open Access
8 Citations
2,079 Views
22 Pages

We introduce fuzzy enriched contraction, which extends the classical notion of fuzzy Banach contraction and encompasses specific fuzzy non-expansive mappings. Our investigation establishes both the presence and uniqueness of fixed points considering...

  • Article
  • Open Access
11 Citations
2,489 Views
19 Pages

28 July 2022

In this paper, a class of uncertain nonlinear multi-agent systems with unknown control directions and a dead-zone fault is addressed, where unknown control gains exist in each subsystem. In terms of the approximation characteristic of a fuzzy logic s...

  • Article
  • Open Access
4 Citations
712 Views
21 Pages

15 June 2025

This paper introduces and analyzes the concept of λ-statistical convergence in fuzzy paranormed spaces, demonstrating its relevance to supply chain inventory management under demand shocks. We establish key relationships between generalized co...

  • Article
  • Open Access
8 Citations
2,488 Views
20 Pages

On the Ideal Convergent Sequences in Fuzzy Normed Space

  • Nifeen H. Altaweel,
  • Mohammad H. M. Rashid,
  • Olayan Albalawi,
  • Maryam G. Alshehri,
  • Nidal H. E. Eljaneid and
  • Razan Albalawi

19 April 2023

This article discusses a variety of important notions, including ideal convergence and ideal Cauchyness of topological sequences produced by fuzzy normed spaces. Furthermore, the connections between the concepts of the ideal limit and ideal cluster p...

  • Feature Paper
  • Perspective
  • Open Access
67 Citations
6,945 Views
18 Pages

19 August 2018

Scientists want to comprehend and control complex systems. Their success depends on the ability to face also the challenges of the corresponding computational complexity. A promising research line is artificial intelligence (AI). In AI, fuzzy logic p...

  • Article
  • Open Access
7 Citations
2,023 Views
7 Pages

On Completeness and Fixed Point Theorems in Fuzzy Metric Spaces

  • Valentín Gregori,
  • Juan-José Miñana,
  • Bernardino Roig and
  • Almanzor Sapena

16 January 2024

This paper is devoted to showing the relevance of the notion of completeness used to establish a fixed point theorem in fuzzy metric spaces introduced by Kramosil and Michalek. Specifically, we show that demanding a stronger notion of completeness, c...

  • Review
  • Open Access
11 Citations
3,353 Views
16 Pages

1 June 2021

Optimization problems in the fuzzy environment are widely studied in the literature. We restrict our attention to mathematical programming problems with coefficients and/or decision variables expressed by fuzzy numbers. Since the review of the recent...

  • Article
  • Open Access
18 Citations
10,556 Views
17 Pages

Fuzzy Color Clustering for Melanoma Diagnosis in Dermoscopy Images

  • Haidar A. Almubarak,
  • R. Joe Stanley,
  • William V. Stoecker and
  • Randy H. Moss

A fuzzy logic-based color histogram analysis technique is presented for discriminating benign skin lesions from malignant melanomas in dermoscopy images. The approach extends previous research for utilizing a fuzzy set for skin lesion color for a spe...

  • Article
  • Open Access
16 Citations
2,759 Views
17 Pages

The Group Decision-Making Using Pythagorean Fuzzy Entropy and the Complex Proportional Assessment

  • Parul Thakur,
  • Bartłomiej Kizielewicz,
  • Neeraj Gandotra,
  • Andrii Shekhovtsov,
  • Namita Saini and
  • Wojciech Sałabun

28 June 2022

The Pythagorean fuzzy sets conveniently capture unreliable, ambiguous, and uncertain information, especially in problems involving multiple and opposing criteria. Pythagorean fuzzy sets are one of the popular generalizations of the intuitionistic fuz...

  • Article
  • Open Access
23 Citations
6,914 Views
11 Pages

3 February 2020

In this paper, we study the feasibility of performing fuzzy information retrieval by word embedding. We propose a fuzzy information retrieval approach to capture the relationships between words and query language, which combines some techniques of de...

  • Article
  • Open Access
2 Citations
1,060 Views
30 Pages

11 December 2024

Linguistic q-Rung orthopair fuzzy set is a new extension of the linguistic Pythagorean fuzzy set, which effectively represents the fuzzy and uncertain decision-making information based on qualitative modeling. However, its operational rules are unabl...

  • Article
  • Open Access
1 Citations
1,718 Views
17 Pages

28 September 2024

Dementia is the most critical neurodegenerative disease that gradually destroys memory and other cognitive functions. Therefore, early detection is essential, and to build an effective detection model, it is required to understand its type, symptoms,...

  • Article
  • Open Access
11 Citations
2,832 Views
18 Pages

7 March 2022

In this paper, we introduce the notion of fuzzy R−ψ−contractive mappings and prove some relevant results on the existence and uniqueness of fixed points for this type of mappings in the setting of non-Archimedean fuzzy metric spaces....

  • Article
  • Open Access
18 Citations
3,360 Views
26 Pages

Fermatean Fuzzy CODAS Approach with Topology and Its Application to Sustainable Supplier Selection

  • Hafiz Muhammad Athar Farid,
  • Mohamed Bouye,
  • Muhammad Riaz and
  • Nimra Jamil

6 February 2023

A Fermatean fuzzy set (FFS) is a reliable method for representing uncertainty in “multi-criteria decision-making” (MCDM). This research seeks to examine the topological properties of FFSs and to establish the notion of “Fermatean fu...

  • Article
  • Open Access
4 Citations
1,197 Views
21 Pages

28 July 2023

This work is concerned with the branch of complex analysis known as geometric function theory, which has been modified for use in the study of fuzzy sets. We develop a novel operator Lα,λm:An→An in the open unit disc Δ using t...

  • Article
  • Open Access
1 Citations
1,327 Views
19 Pages

Note on Intuitionistic Fuzzy Metric-like Spaces with Application in Image Processing

  • Tatjana Došenović,
  • Dušan Rakić,
  • Nebojša Ralević and
  • Biljana Carić

25 July 2024

Recently, the fixed-point theorem for fuzzy contractive mappings has been investigated within the framework of intuitionistic fuzzy metric-like spaces. This interesting topic was explored through the utilization of G-Cauchy sequences as defined by Gr...

  • Article
  • Open Access
9 Citations
5,234 Views
20 Pages

Suitability of a Consensual Fuzzy Inference System to Evaluate Suppliers of Strategic Products

  • Nazario Garcia,
  • Javier Puente,
  • Isabel Fernandez and
  • Paolo Priore

10 January 2018

This paper designs a bidding and supplier evaluation model focused on strategic product procurement, and develops their respective evaluation knowledge bases. The model is built using the most relevant variables cited in the reviewed procurement lite...

  • Article
  • Open Access
5 Citations
1,990 Views
17 Pages

2 May 2022

Fuzzy entropy has a wide range of applications in uncertainty problems. Due to the dual-complexity of its characteristics and calculation, the study on type-2 fuzzy entropy is rare, let alone the semi-ones. Given this, the paper takes the lead in pro...

  • Article
  • Open Access
5 Citations
2,229 Views
17 Pages

17 April 2023

The integration of key indicators from the results of the analysis of time series represents a constant challenge within organizations; this could be mainly due to the need to establish the belonging of each indicator within a process, geographic reg...

  • Article
  • Open Access
12 Citations
3,191 Views
19 Pages

26 September 2022

How to select the right suppliers has become a crucial strategic decision for manufacturing companies facing various performance measures. This study proposed a hybrid selection model integrating factor analysis, structural equation modeling (SEM), a...

  • Article
  • Open Access
1 Citations
783 Views
16 Pages

Fuzzy MCDM Methodology for Analysis of Fibre Laser Cutting Process

  • Milan Trifunović,
  • Miloš Madić,
  • Goran Petrović,
  • Dragan Marinković and
  • Predrag Janković

30 June 2025

Considering the complexity of laser cutting technology, and difficulties and limitations when applying traditional multi-criteria decision-making (MCDM) methods, this study proposes a fuzzy MCDM methodology for the analysis of the fibre laser cutting...

  • Article
  • Open Access
47 Citations
7,611 Views
13 Pages

17 August 2017

Failure mode and effects analysis (FMEA) is a popular and useful approach applied to examine potential failures in different products, designs, processes, and services. As a vital index, the risk priority number (RPN) can determine the risk prioritie...

  • Review
  • Open Access
13 Citations
5,514 Views
64 Pages

12 February 2025

This article aims to present a structured literature review that utilizes computational intelligence techniques, specifically fuzzy logic, neural networks, genetic algorithms, and machine learning, to assist in the assessment of workplace risk from h...

  • Article
  • Open Access
4 Citations
2,130 Views
15 Pages

4 December 2023

Solving optimization problems in a fuzzy environment is an area widely addressed in the recent literature. De-fuzzification of data, construction of crisp more or less equivalent problems, unification of multiple objectives, and solving a single cris...

  • Article
  • Open Access
9 Citations
2,978 Views
13 Pages

28 May 2021

The work is devoted to the development of new methods and algorithms to support decision making when planning air travel using uncertainties in the form of fuzzy numbers. The proposed approach makes it possible to define rational methods of choice: h...

  • Article
  • Open Access
4 Citations
4,061 Views
15 Pages

An Integrated Fuzzy Goal Programming—Theory of Constraints Model for Production Planning and Optimization

  • Habib Zare,
  • Mahyar Kamali Saraji,
  • Madjid Tavana,
  • Dalia Streimikiene and
  • Fausto Cavallaro

17 November 2021

Manufacturing companies are under constant pressure to optimize the economic sustainability of their production systems. Production planning and optimization is a well-established strategy for considering resource constraints and improving economic p...

  • Article
  • Open Access
21 Citations
5,164 Views
14 Pages

30 September 2022

The COVID-19 pandemic broke out and the global logistics industry suffered severe losses; therefore, the Fuzzy FMEA-AHP (Fuzzy Failure Mode and Effects Analysis-Analytic Hierarchy Process) method is proposed to analyze the failure reasons of the logi...

  • Article
  • Open Access
8 Citations
2,290 Views
17 Pages

13 June 2023

This paper proposes an AHP approach that utilizes the fuzzy extent model to prioritize five city parks based on their present quality and projected importance for Novi Sad City, the capital of Vojvodina Province, in Serbia. The study involved an expe...

  • Article
  • Open Access
2 Citations
1,108 Views
24 Pages

Fuzzy-Based Decision Support for Strategic Management: Evaluating Electric Vehicle Attractiveness in the Digital Era

  • Sónia Gouveia,
  • Daniel H. de la Iglesia,
  • José Luís Abrantes,
  • Alfonso J. López Rivero and
  • Eduardo Gouveia

25 April 2025

In an era marked by sustainability challenges and digital transformation, organizations face heightened uncertainty in strategic decision-making. This paper applies a conceptual tool, a fuzzy-based decision model, in the appraisal of the attractivene...

  • Article
  • Open Access
7 Citations
2,838 Views
15 Pages

30 September 2019

The purpose of this paper is to present fuzzy reasoning as a formal tool for determining the differences in perception of individual communication channels by customers. These differences in customer perception are important for micro-enterprises to...

  • Article
  • Open Access
34 Citations
3,972 Views
16 Pages

20 January 2020

The energy consumption used for domestic purposes in Europe is, to a considerable extent, due to heating and cooling. This energy is produced mostly by burning fossil fuels, which has a high negative environmental impact. The characteristics of a bui...

  • Article
  • Open Access
2 Citations
1,395 Views
31 Pages

23 April 2024

In this paper, the fixed-time and preassigned-time synchronization issues of fully quaternion-valued fuzzy memristive neural networks are studied based on the dynamic event-triggered control mechanism. Initially, the fuzzy rules are defined within th...

  • Article
  • Open Access
2 Citations
2,726 Views
24 Pages

Fuzzy Memory Networks and Contextual Schemas: Enhancing ChatGPT Responses in a Personalized Educational System

  • Christos Troussas,
  • Akrivi Krouska,
  • Phivos Mylonas,
  • Cleo Sgouropoulou and
  • Ioannis Voyiatzis

Educational AI systems often do not employ proper sophistication techniques to enhance learner interactions, organize their contextual knowledge or even deliver personalized feedback. To address this gap, this paper seeks to reform the way ChatGPT su...

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