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Vinoth S,G Srinivasa Rao
Pág. 006 - 015
This research article explores the diverse realm of fuzzy numbers, with a specific focus on defuzzification using the bounded area method and its general applications. Fuzzy numbers, introduced by Lotfi A. Zadeh, have proven to be a powerful tool for han...
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Amalesh Kumar Manna, Leopoldo Eduardo Cárdenas-Barrón, Jayanta Kumar Dey, Shyamal Kumar Mondal, Ali Akbar Shaikh, Armando Céspedes-Mota and Gerardo Treviño-Garza
In the inventory theory, to treat the uncertainty, the fuzzy set concept is used in order to provide a feasible approach to deal with the uncertainty problem. In this research work, a fuzzy economic production quantity model with interactive fuzzy demand...
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Mahammad Nuriyev, Aziz Nuriyev and Jeyhun Mammadov
The renewable energy transition of oil- and gas-producing countries has specific peculiarities due to the ambivalent position of these countries in the global energy market, both as producers and consumers of energy resources. This task becomes even more...
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Sinan Keskin and Adnan Yazici
Nowadays, with the rise of sensor technology, the amount of spatial and temporal data is increasing day by day. Modeling data in a structured way and performing effective and efficient complex queries has become more essential than ever. Online analytica...
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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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Saed Mallak, Basem Attili and Marah Subuh
We study hybrid fuzzy differential equations (HFDEs) under the Hukuhara derivative numerically using Picard?s and the general linear method (GLM). We use trapezoidal and triangular fuzzy numbers as the initial conditions. To demonstrate the efficiency of...
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Ramin Rostamkhani, Morteza Abbasi
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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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Muhammad Zahir Khan, Muhammad Farid Khan, Muhammad Aslam, Seyed Taghi Akhavan Niaki and Abdur Razzaque Mughal
Conventional control charts are one of the most important techniques in statistical process control which are used to assess the performance of processes to see whether they are in- or out-of-control. As traditional control charts deal with crisp data, t...
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Yan Sun, Maoxiang Lang and Jiaxi Wang
In this study, we combine the fuzzy customer information problem with the multicommodity multimodal routing with schedule-based services which was explored in our previous study [1]. The fuzzy characteristics of the customer information are embodied in t...
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Binod Chandra Tripathy, Gautam Chandra Ray
Pág. 331 - 335
The notions of continuity was generalized in the fuzzy setting by Chang (1968). Later on Azad (1981) introduced some weaker form of fuzzy continuity like fuzzy almost continuity, fuzzy semi-continuity and fuzzy weak continuity. These are natural generali...
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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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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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Athina Daniilidou, Avrilia Konguetsof, Georgios Souliotis and Basil Papadopoulos
In this research paper, a generator of fuzzy methods based on theorems and axioms of fuzzy logic is derived, analyzed and applied. The family presented generates fuzzy implications according to the value of a selected parameter. The obtained fuzzy implic...
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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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Lev Raskin,Oksana Sira
Pág. 14 - 20
The need to improve the adequacy of conventional models of the source data uncertainty in order to undertake research using fuzzy mathematics methods has led to the development of natural improvement in the analytical description of the fuzzy numbers' me...
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Mykola Kosterev,Volodymyr Litvinov,Kateryna Kilova
Pág. 45 - 52
The task on estimating the technical condition of a hydrogenerator under conditions of fuzzy information has been resolved. To this end, a series of models have been constructed for the integrated estimation of the technical condition of a hydrogenerator...
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Bima Sena Bayu Dewantara, Jun Miura
Pág. 62 - 79
Fuzzy rule optimization is a challenging step in the development of a fuzzy model. A simple two inputs fuzzy model may have thousands of combination of fuzzy rules when it deals with large number of input variations. Intuitively and trialâ?error determin...
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A. S. Lee
AbstractThis study employed fuzzy theory to investigate the influence of the features of furniture product design on the fuzzy semantics of Taiwanese consumers? perceived value in new product design and development in hopes of providing product desi...
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Mohammadsoroush Tafazzoli, Ayoub Hazrati, Kishor Shrestha and Krishna Kisi
Contractors play an integral role in construction projects, and their qualifications directly impact various aspects of a project?s success. The unbiased selection of contractors is a challenge in the construction industry worldwide, particularly in publ...
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