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- chapterApril 2024
Fuzzy quantitative attack tree analysis
Fundamental Approaches to Software EngineeringApr 2024, Pages 210–231https://doi.org/10.1007/978-3-031-57259-3_10AbstractAttack trees are important for security, as they help to identify weaknesses and vulnerabilities in a system. Quantitative attack tree analysis supports a number security metrics, which formulate important KPIs such as the shortest, most likely ...
- ArticleSeptember 2023
Towards Imprecise Scores in Multi-criteria Decision Making with Ranked Weights
Fuzzy Logic and Technology, and Aggregation OperatorsSep 2023, Pages 197–207https://doi.org/10.1007/978-3-031-39965-7_17AbstractThere is a vast number of contributions in the literature dealing with problems for which they explicitly consider the imprecision in the inputs while keeping the output in crisp terms. Moreover, as the complexity in the representation of ...
- research-articleMarch 2024
The use of Chi-squared Automatic Interaction Detector (CHAID) analysis to identify characteristics of agricultural households at risk of financial self-exclusions
Procedia Computer Science (PROCS), Volume 225, Issue C2023, Pages 4443–4452https://doi.org/10.1016/j.procs.2023.10.442AbstractThe aim of the research was to identify the characteristics of agricultural households at risk of financial self-exclusion using the Chi-squared Automatic Interaction Detector (CHAID) analysis. The source of data was the results of a survey ...
- research-articleMarch 2024
Examples of the application of the SERVQUAL and fuzzy SERVQUAL methods for the assessment of the quality of financial services in the field of Insurance coverage – as a factor determining the financial efficiency of entities from the Insurance sector
Procedia Computer Science (PROCS), Volume 225, Issue C2023, Pages 4416–4423https://doi.org/10.1016/j.procs.2023.10.439AbstractThis paper surveys and critically evaluates the literature on methods used in assessing the quality of financial services in the field of insurance coverage. The paper presents the methodological assumptions of SERVQUAL and fuzzy SERVQUAL methods. ...
- research-articleJune 2022
Bootstrap Methods for Epistemic Fuzzy Data
International Journal of Applied Mathematics and Computer Science (IJAMCS), Volume 32, Issue 2Jun 2022, Pages 285–297https://doi.org/10.34768/amcs-2022-0021AbstractFuzzy numbers are often used for modeling imprecise perceptions of the real-valued observations. Such epistemic fuzzy data may cause problems in statistical reasoning and data analysis. We propose a universal nonparametric technique, called the ...
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- research-articleMay 2022
Fuzzy Complex Ranking Method and its Use for Multi-Criteria Comparison of Alternatives
Cybernetics and Systems Analysis (KLU-CASA), Volume 58, Issue 3May 2022, Pages 392–398https://doi.org/10.1007/s10559-022-00471-0AbstractIt is noted that fuzzy methods are widely used to substantiate rational decisions in multi-criteria analysis of complex systems since the operating conditions of such systems and their characteristics are mostly non-deterministic and should be ...
- research-articleJanuary 2022
Tackling the fuzzy multi-objective linear fractional problem using a parametric approach
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology (JIFS), Volume 43, Issue 12022, Pages 721–734https://doi.org/10.3233/JIFS-212403Finding efficient solutions for the multi-objective linear fractional programming problem (MOLFPP) is a challenging issue in optimization because more than one target has to be taken into account. For the problem, we face the concept of efficient ...
- research-articleJanuary 2022
A parametric approach to fuzzy multi-objective linear fractional program: An alpha cut based method
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology (JIFS), Volume 42, Issue 62022, Pages 5639–5652https://doi.org/10.3233/JIFS-212105In the multi-objective programming problem (MOPP), finding an efficient solution is challenging and partially encompasses some difficulties in practice. This paper presents an approach to address the multi-objective linear fractional programing problem ...
- research-articleJanuary 2021
An evidence theory based approach for group decision making under uncertainty
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology (JIFS), Volume 40, Issue 62021, Pages 10837–10851https://doi.org/10.3233/JIFS-201846With the changing business environment and the active participation of various stakeholders in the decision making process, it plays an increasingly important role to the weight of decision makers and the preference information given by decision makers. ...
- research-articleJanuary 2021
A novel approach for the next software release using a binary artificial algae algorithm
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology (JIFS), Volume 40, Issue 32021, Pages 5027–5041https://doi.org/10.3233/JIFS-201759In software incremental development methodology, the product develops in several releases. In each release, one set of the requirements is suggested for development. The development team must select a subset of the proposed requirements for development in ...
- research-articleJanuary 2021
Applications of statistical convergence of order (η, δ + γ) in difference sequence spaces of fuzzy numbers
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology (JIFS), Volume 40, Issue 32021, Pages 4695–4703https://doi.org/10.3233/JIFS-201539In this article, we introduce and study some difference sequence spaces of fuzzy numbers by making use of λ-statistical convergence of order (η, δ + γ) . With the aid of MATLAB software, it appears that the statistical convergence of order (η, δ + γ) is ...
- articleJune 2020
Flexible resampling for fuzzy data
International Journal of Applied Mathematics and Computer Science (IJAMCS), Volume 30, Issue 2Jun 2020, Pages 281–297https://doi.org/10.34768/amcs-2020-0022AbstractIn this paper, a new methodology for simulating bootstrap samples of fuzzy numbers is proposed. Unlike the classical bootstrap, it allows enriching a resampling scheme with values from outside the initial sample. Although a secondary sample may ...
- research-articleMarch 2020
Depth-Optimal Distribution of Drilling Meterage Under Uncertainty
Cybernetics and Systems Analysis (KLU-CASA), Volume 56, Issue 2Mar 2020, Pages 269–277https://doi.org/10.1007/s10559-020-00242-9AbstractThe problem of depth-optimal distribution of drilling meterage is solved for the case where parameters of the optimality criterion are fuzzy numbers. This assumption made it possible to transform a deterministic nonlinear programming problem into ...
- research-articleJanuary 2020
A common-weights approach for efficiency evaluation in fuzzy data envelopment analysis with undesirable outputs: Application in banking industry
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology (JIFS), Volume 39, Issue 52020, Pages 7705–7722https://doi.org/10.3233/JIFS-201022Data Envelopment Analysis (DEA) is a non-parametric approach based on linear programming for evaluating the performance of decision making units (DMUs) with multiple inputs and multiple outputs. The lack of the ability to generate the actual weights, not ...
- research-articleJanuary 2020
A special fuzzy star-shaped numbers space with endograph metric
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology (JIFS), Volume 38, Issue 22020, Pages 1855–1864https://doi.org/10.3233/JIFS-190272In this paper, for a non-degenerate convex set Y in Rn containing 0, two special function spaces S0 (Y) and E0 (Y) which consist of all fuzzy star-shaped numbers and of all fuzzy numbers in Rn with respect to 0 and their supports being included in Y with ...
- research-articleJanuary 2020
Goodwin economic cycle via p-fuzzy system
- Daniel Eduardo Sánchez,
- Estevão Esmi,
- Laécio Carvalho de Barros,
- Alessandro Donadio Miebach,
- Moiseis dos Santos Cecconello
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology (JIFS), Volume 38, Issue 42020, Pages 4079–4090https://doi.org/10.3233/JIFS-182762In this manuscript, we present numerical solutions of a p-fuzzy system that models the Goodwin economic cycle. This model describes the dynamic interaction between labour share and the employment rate in an economy. One can use p-fuzzy systems to obtain ...
- research-articleJanuary 2020
A novel approach to improve the bank ranking process: an empirical study in Spain
- Javier Reig-Mullor,
- Jose M. Brotons-Martinez,
- Manuel E. Sansalvador-Selles,
- José M. Merigó,
- Salvador Linares-Mustaros,
- Joan Carles Ferrer-Comalat
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology (JIFS), Volume 38, Issue 52020, Pages 5323–5331https://doi.org/10.3233/JIFS-179626In this paper, a novel approach to the bank ranking process based on the possibilistic theory is proposed. Through this new method, the sensitivity of the results can be improved. Several methods are applied in order to rank the financial performance of ...
- research-articleJanuary 2019
On lacunary statistical convergence of double sequences and some properties in fuzzy normed spaces
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology (JIFS), Volume 36, Issue 22019, Pages 1683–1690https://doi.org/10.3233/JIFS-18841In this study, we have investigated the concepts of lacunary summable, lacunary statistical convergence and lacunary statistically Cauchy sequence for double sequences in fuzzy normed spaces. Also, we have investigated some properties and relationships ...
- research-articleJanuary 2019
Classifying fuzzy flexible measures in data envelopment analysis
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology (JIFS), Volume 36, Issue 42019, Pages 3791–3800https://doi.org/10.3233/JIFS-18698In classical models of data envelopment analysis, the identification of factors as input or output factors has been assumed. In the last decade, research on the impact of flexible factors on the assessment of the efficiency of decision-making units has ...
- research-articleMay 2018
Two new methods for ranking of Z‐numbers based on sigmoid function and sign method
International Journal of Intelligent Systems (IJIS), Volume 33, Issue 7July 2018, Pages 1476–1487https://doi.org/10.1002/int.21987AbstractThis paper introduces two processes of ranking methods on Z‐numbers that are effectively able to deal with uncertain decision‐making data. Decision making is based on recommended Z‐ numbers. For this purpose first, the Z‐number is transformed to a ...