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Fred Petry and Ronald Yager
Data mining refers to a variety of techniques in the fields of databases, machine learning and pattern recognition. The intent is to obtain useful patterns and associations from a large collection of data. In this paper we describe extensions to the attr...
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Claudia I. Gonzalez, Patricia Melin and Oscar Castillo
This paper presents a new general type-2 fuzzy logic method for edge detection applied to color format images. The proposed algorithm combines the methodology based on the image gradients and general type-2 fuzzy logic theory to provide a powerful edge d...
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Oscar Castillo, Mauricio A. Sanchez, Claudia I. Gonzalez and Gabriela E. Martinez
This paper presents a literature review of applications using type-2 fuzzy systems in the area of image processing. Over the last years, there has been a significant increase in research on higher-order forms of fuzzy logic; in particular, the use of int...
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Yiming Tang, Rui Chen and Bowen Xia
Nowadays, most fuzzy clustering algorithms are sensitive to the initialization results of clustering algorithms and have a weak ability to handle high-dimensional data. To solve these problems, we developed the viewpoint-driven subspace fuzzy c-means (VS...
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Stylianos Giakoumakis and Basil Papadopoulos
In this paper, we develop a novel computation model of Intuitionistic Fuzzy Values with the usage of fuzzy negations and Archimedean copulas. This novel computation model?s structure is based on the extension of the existing operations of intuitionistic ...
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Ihor Alieinykov,Khudhair Abed Thamer,Yurii Zhuravskyi,Oleg Sova,Nataliia Smirnova,Ruslan Zhyvotovskyi,Serhiy Hatsenko,Sergii Petruk,Rostislav Pikul,Andrii Shyshatskyi
Pág. 16 - 27
The method of fuzzy evaluation of information and analytical support of strategic management is developed. A distinctive feature of the proposed method a flexible hierarchical structure of indicators. This allows reducing the task of multicriteria evalua...
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Mehdi Keshavarz-Ghorabaee, Maghsoud Amiri, Edmundas Kazimieras Zavadskas, Zenonas Turskis and Jurgita Antucheviciene
Selection of appropriate subcontractors for outsourcing is very important for the success of construction projects. This can improve the overall quality of projects and promote the qualification and reputation of the main contractors. The evaluation of s...
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Huchang Liao, Di Wu, Yulong Huang, Peijia Ren, Zeshui Xu and Mohit Verma
In the process of evaluating the green levels of cold-chain logistics providers, experts may hesitate between several linguistic terms rather than give precise values over the alternatives. Due to the potential profit and risk of business decisions, deci...
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Juan Carlos Figueroa García, Germán Hernández, Carlos Franco
AbstractDownloadsReferencesHow to Cite
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O. V. Lavrukhin
Pág. 84 - 86
The article examines possibilities of creation on the railway transport of the adequate decision-making support system on the basis of the fundamentals of the fuzzy sets and fuzzy logic theories.
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Juan Carlos Figueroa-García, Juan Sebastian Patiño-Callejas, Krisna Yoel Espinosa-Ayala
Pág. 233 - 244
AbstractDownloadsReferencesHow to Cite
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Jinyu Guo and Lizhen Wang
The goal of spatial co-location pattern mining is to find subsets of spatial features whose instances are often neighbors in a geographical space. In many practical cases, instances of spatial features contain not only spatial location information but al...
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Edyta Plebankiewicz and Patrycja Karcinska
The paper presents a model that aims to support the construction contractor in the process of construction workforce planning by verifying initial assumptions about the planned number of man-hours, determined using a widely available and widely used meth...
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Túlio S. Almeida, Amanda dos Santos Mendes, Paloma M. S. Rocha Rizol and Marcela A. G. Machado
Statistical process control (SPC) is one of the most powerful techniques for improving quality, as it is able to detect special causes of problems in processes, products and services with a remarkable degree of accuracy. Among SPC tools, X¯" rol...
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Przemyslaw Ilczuk and Magdalena Kycko
Risk assessment in the design of control command and signaling devices (CCS) is one of the elements required by law. These analyses should be carried out at many stages of investment with the participation of various teams. This article presents a risk a...
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Cinthia Peraza, Patricia Ochoa, Oscar Castillo and Patricia Melin
The challenges we face in today?s world are increasingly complex, and effectively managing uncertainty when modeling control problems can yield significant benefits. However, the complexity of these models often leads to higher computational costs. There...
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Frederick Petry and Ronald Yager
This paper considers approaches to the computation of association rules for intuitionistic fuzzy data. Association rules can provide guidance for assessing the significant relationships that can be determined while analyzing data. The approach uses the c...
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Anna Bryniarska
The paper presents a certain class of the mathematical models of diagnostic information granules describing the fuzzy symptoms-faults relationship. A certain fuzzy diagnostic information retrieval system is described as an application of an expert diagno...
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Vladislav T. Todorov, Dmitry Rakov and Andreas Bardenhagen
The current challenges facing the aerospace domain require unconventional solutions, which could be sought in new configurations of future aircraft and spacecraft. The choice of optimal concepts requires the consideration of a significant amount of compe...
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Bekir Sahin, Devran Yazir, Abdelsalam Adam Hamid and Noorul Shaiful Fitri Abdul Rahman
Fuzzy goal programming has important applications in many areas of supply chain, logistics, transportation and shipping business. Business management has complications, and there exist many interactions between the factors of its components. The locomoti...
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