Results 11 to 20 of about 80,067 (268)
Fuzzy approach to business improvement of holding equipment in the conditions of decreased production range [PDF]
Yugoslav Journal of Operations Research, 2007 In recent years, manufacturing industry has been characterized by a decreased production range and a demand for a rapid change of production programs. In such conditions holding equipment costs are considerably larger.
Tadić Branko +2 more
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Fuzzy clustering of intuitionistic fuzzy data
International Journal of Business Intelligence and Data Mining, 2008 Challenged by real-world clustering problems this paper proposes a novel fuzzy clustering scheme of datasets produced in the context of intuitionistic fuzzy set theory. More specifically, we introduce a variant of the Fuzzy C-Means (FCM) clustering algorithm that copes with uncertainty and a similarity measure between intuitionistic fuzzy sets, which ...
Pelekis, N. +3 more
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Bootstrap Methods for Epistemic Fuzzy Data
International Journal of Applied Mathematics and Computer Science, 2022 Fuzzy 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 epistemic
Grzegorzewski Przemysław +1 more
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Fuzzy multi-criteria approach to ordering policy ranking in a supply chain [PDF]
Yugoslav Journal of Operations Research, 2005 In this paper, a new fuzzy multi-criteria mathematical model for the selection of the best among a finite number of ordering policy of raw material in a supply chain is developed.
Tadić Danijela
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Kuwait Journal of Science, 2021 In statistical and econometric researches, three types of data are mostly used as i) cross-sectional, time series and panel data. Cross-sectional data consists as a result of collecting the observations related to the same variables of many units at ...
Muhammet Oguzhan Yalcin +2 more
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A Fuzzy Clustering Model for Fuzzy Data with Outliers [PDF]
International Journal of Fuzzy System Applications, 2011 This paper proposes a fuzzy clustering model for fuzzy data with outliers. The model is based on Wasserstein distance between interval valued data, which is generalized to fuzzy data. In addition, Keller’s approach is used to identify outliers and reduce their influences.
M. H. Fazel Zarandi, Zahra S. Razaee
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A Gaussian-Shaped Fuzzy Inference System for Multi-Source Fuzzy Data
Systems, 2022 Fuzzy control theory has been extensively used in the construction of complex fuzzy inference systems. However, we argue that existing fuzzy control technologies focus mainly on the single-source fuzzy information system, disregarding the complementary ...
Yun Zhang, Chaoxia Qin
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A New Efficient Approach for Updating Formal Fuzzy Concepts [PDF]
IJCI International Journal of Computers and Information, 2023 Formal fuzzy concept analysis is an effective data analysis and mining technique in the real world. However, deriving formal fuzzy concepts is an NP problem that demands substantial time and storage resources.
Ebtesam Shemis +3 more
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New results on perturbation-based copulas
Dependence Modeling, 2021 A prominent example of a perturbation of the bivariate product copula (which characterizes stochastic independence) is the parametric family of Eyraud-Farlie-Gumbel-Morgenstern copulas which allows small dependencies to be modeled.
Saminger-Platz Susanne +4 more
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MULTICRITERIA OPTIMIZATION OF PROJECT SCOPE
Вісник Національного технічного університету «ХПÌ». Серія: Стратегічне управління, управління портфелями, програмами та проектами, 2015 The paper presents the results of a computer program «PTCQR Project Scope Optimization» applying for the solutions of test and real optimization problems of project scope for the criteria profit, time, cost , quality and risks. The real problem is solved
Игорь Владимирович КОНОНЕНКО +2 more
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