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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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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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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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Lelin Lv, Huimin Li, Lunyan Wang, Qing Xia and Li Ji
Failure Mode and Effect Analysis (FMEA) is a useful risk assessment tool used to identify, evaluate, and eliminate potential failure modes in numerous fields to improve security and reliability. Risk evaluation is a crucial step in FMEA and the Risk Prio...
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Wenhua Wu, Yafei Song and Weiwei Zhao
The evaluation of evidence reliability is still an open topic, when prior knowledge is unavailable. In this paper, we propose a new method for evaluating evidence reliability, in the framework of intuitionistic fuzzy sets. The reliability of evidence was...
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Dorin Lixandroiu
Pág. 149 - 161
This paper proposes a new method for ranking the alternatives represented under the form of IFS. The method is analysed in comparison with other techniques used for ordering introduced by Xu (2007), Szmidt and Kacprzyk (2008). The order is determined bas...
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Peide Liu, Muhammad Munir, Tahir Mahmood and Kifayat Ullah
Similarity measures, distance measures and entropy measures are some common tools considered to be applied to some interesting real-life phenomena including pattern recognition, decision making, medical diagnosis and clustering. Further, interval-valued ...
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Junwei Gan and Li Luo
At present, the recycling rate of End-of-life vehicles (ELVs) in China is far lower than the heavily motorized countries, resulting in severe environmental pollution, waste of resource and hidden traffic troubles, which has a negative impact on China?s e...
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Haiping Ren and Guofu Wang
Similarity measure is one of the most important measures of interval-valued intuitionistic fuzzy (IVIF) sets. This article will put forward a new similarity measure, which considers the impacts of membership degree, nonmembership degree and median point ...
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Hongyu Shao, Sizhe Pan, Yufei Song and Quanfu Li
In the context of rapid product iteration, design conflicts arise from discrepancies in designers? understanding of user needs, influenced by subjective preferences, behavioural stances, and other factors. This paper proposes a product conceptual design ...
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Manfeng Liu and Haiping Ren
In this paper, firstly, a new intuitionistic fuzzy (IF) entropy has been put forward, which considered both the uncertainty and the hesitancy degree of IF sets. Through comparing with other entropy measures, the advantage of the new entropy measure is ob...
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Xuan Wu and Yafei Song
In recent years, the presence of malware has been growing exponentially, resulting in enormous demand for efficient malware classification methods. However, the existing machine learning-based classifiers have high false positive rates and cannot effecti...
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