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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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Juan Carlos Figueroa García, Germán Hernández, Carlos Franco
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Juan Carlos Figueroa-García, Juan Sebastian Patiño-Callejas, Krisna Yoel Espinosa-Ayala
Pág. 233 - 244
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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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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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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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Mónica Lorena Rodríguez Ayala, Yeniffer Estefanía Huertas Moreno
Pág. 121 - 137
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Oleksii Kolomiitsev, Volodymyr Pustovarov
Pág. 122 - 128
The subject of research in the article are the processes of formalization of the pixel-by-pixel classification problem using the modified fuzzy neural production network of Wang-Mendel for segmentation of urban structures in the automated analysis of spa...
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Anna Bryniarska
In this paper, a postulation on the relationship between the memory structure of the brain?s neural network and the representation of information granules in the semantic web is presented. In order to show this connection, abstract operations of inducing...
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Xue-Guo Xu, Hua Shi, Dong-Hui Xu and Hu-Chen Liu
Fuzzy Petri nets (FPNs) have been applied in many fields as a potential modeling tool for knowledge representation and reasoning. However, there exist many deficiencies in the conventional FPNs when applied in the real world. In this paper, we present a ...
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Min-Kyu Kim, Jong-Hwa Kim and Hyun Yang
In this study, basic research was conducted regarding the era of autonomous vessels and artificial intelligence (deep learning, big data, etc.). When a vessel is navigating autonomously, it must determine the optimal route by itself and accurately follow...
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Seyed Hamed Fateminia, Vuppuluri Sumati and Aminah Robinson Fayek
Determining contingency reserve is critical to project risk management. Classic methods of determining contingency reserve significantly rely on historical data and fail to effectively incorporate certain types of uncertainties such as vagueness, ambigui...
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Oscar Castillo, Patricia Melin, Fevrier Valdez, Jose Soria, Emanuel Ontiveros-Robles, Cinthia Peraza and Patricia Ochoa
Nowadays, dynamic parameter adaptation has been shown to provide a significant improvement in several metaheuristic optimization methods, and one of the main ways to realize this dynamic adaptation is the implementation of Fuzzy Inference Systems. The ma...
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Oscar Castillo, Patricia Melin, Fevrier Valdez, Jose Soria, Emanuel Ontiveros-Robles, Cinthia Peraza and Patricia Ochoa
Nowadays, dynamic parameter adaptation has been shown to provide a significant improvement in several metaheuristic optimization methods, and one of the main ways to realize this dynamic adaptation is the implementation of Fuzzy Inference Systems. The ma...
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Zhikang Lu and Jun Ye
Fault diagnosis is an important task for the normal operation and maintenance of equipment. In many real situations, the diagnosis data cannot provide deterministic values and are usually imprecise or uncertain. Thus, interval-valued fuzzy sets (IVFSs) a...
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