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A dominance intuitionistic fuzzy-rough set approach and its applications

Bing Huang, Yu-liang Zhuang, Hua-xiong Li, Da-kuan Wei
2013 Applied Mathematical Modelling  
Rule extraction is an important task in a type of decision systems where condition attributes are taken as intuitionistic fuzzy values and those of decision attribute are crisp ones.  ...  Finally, the presented model and algorithms are applied to audit risk judgment on information system security auditing risk judgement for CISA, candidate global supplier selection in a manufacturing company  ...  In [47] , Huang et al. also investigated dominance-based interval-valued intuitionistic fuzzy rough set model and rule extraction in interval-valued intuitionistic fuzzy information systems where both  ... 
doi:10.1016/j.apm.2012.12.009 fatcat:w25fsigfeje4tcv54jk5j2lgcq

Recent Fuzzy Generalisations of Rough Sets Theory: A Systematic Review and Methodological Critique of the Literature

Abbas Mardani, Mehrbakhsh Nilashi, Jurgita Antucheviciene, Madjid Tavana, Romualdas Bausys, Othman Ibrahim
2017 Complexity  
Rough set theory has been used extensively in fields of complexity, cognitive sciences, and artificial intelligence, especially in numerous fields such as expert systems, knowledge discovery, information  ...  Therefore, in this review study, the attempt is made to provide a comprehensive systematic review of methodologies and applications of recent generalisations discussed in the area of fuzzy-rough set theory  ...  sets Proposed a new dominance intuitionistic fuzzy-rough set for using auditing risk judgment in information system security Ouyang et al. [50] Information systems Developed Fuzzy-rough  ... 
doi:10.1155/2017/1608147 fatcat:o6khgyofg5g55hwgdj2y6angii

Applications of Soft Set in Decision Making Problems

B.V.S.T. Sai
2020 Global Journal of Pure and Applied Mathematics  
In this paper we present some of the main developments in the Applications of soft set theory as a survey of literature motivated by Molodtsov.  ...  Feng-Jun [26] proposed an adjustable approach to fuzzy soft set based decision making, and discussed the application of interval-valued fuzzy soft sets in decision making problems.  ...  The novelty of the proposed approach is that, unlike in rough set theory that uses decision rules, it is based on the concept of co-occurrence of parameters in soft set theory.  ... 
doi:10.37622/gjpam/16.2.2020.305-324 fatcat:rntj66shtzanrol7rwiavneaim

Research on the Evaluation Model for Wireless Sensor Network Performance Based on Mixed Multiattribute Decision-Making

Jiekun Song, Yemeng Zhang, Zhihao Zhao, Rui Chen, Iftikhar Ahmad
2021 Journal of Sensors  
After that, based on the transformation of mixed attributes into the unified intuitionistic fuzzy numbers (IFNs), an objective weighting method based on intuitionistic fuzzy entropy is proposed.  ...  Considering the specific evaluation purpose and requirements for different enterprises, this paper puts forward an indicator selection method and a subjective weighting method based on the rough set theory  ...  Section 3 presents the indicator weighting method based on rough set and intuitionistic fuzzy entropy. Section 4 presents the evaluation model based on intuitionistic fuzzy MADM.  ... 
doi:10.1155/2021/8885009 fatcat:qb6rxhllvng47cy3atugp6dxda

Special issue on intelligent decision support systems based on soft computing and their applications in real-world problems

Enrique Herrera-Viedma, Francisco Chiclana, Yucheng Dong, Francisco Javier Cabrerizo
2018 Applied Soft Computing  
In recent years, intelligent decision support systems based on soft computing have attracted the attention of both, academic researchers and practitioners in a wide range of disparate areas from computing  ...  The emergence of the intelligent decision making technology provides a good decision support to deal with these complex decision making problems, and soft computing plays a core role in the intelligent  ...  Cheruku et al. in RST-BatMiner: A Fuzzy Rule Miner Integrating Rough Set Feature Selection and Bat Optimization for Detection of Diabetes Disease propose a decision support system based on rough set theory  ... 
doi:10.1016/j.asoc.2018.04.054 fatcat:ma5kdazxvvgrfc2snma6p4lwbu

Attributes reduction and rules acquisition in an lattice-valued information system with fuzzy decision

Xiaoyan Zhang, Ling Wei, Weihua Xu
2016 International Journal of Machine Learning and Cybernetics  
Meanwhile, we establish a rough set approach and give a ranking method for all objects in this complex system. Secondly, we address approximation reductions and rules acquisition in LvISFD.  ...  In this paper, we aim to investigate latticevalued information systems with fuzzy decision (LvISFD), where the domain of every condition attribute is a finite lattice.  ...  Acknowledgments The author would like to thank the valuable suggestions from the anonymous referees and the editor in chief for improving the quality of the paper. This work is supported by Natural  ... 
doi:10.1007/s13042-015-0492-9 fatcat:rytofw4aajhplhx7yqm26mc2my

Algebraic Structures of Neutrosophic Triplets, Neutrosophic Duplets, or Neutrosophic Multisets

Florentin Smarandache, Xiaohong Zhang, Mumtaz Ali
2019 Symmetry  
Neutrosophy (1995) is a new branch of philosophy that studies triads of the form (<A>, <neutA>, <antiA>), where <A> is an entity (i.e. element, concept, idea, theory, logical proposition, etc.), <antiA  ...  The INS is a subclass of the NS and a generalization of the interval-valued intuitionistic fuzzy set (IVIFS), which can be used in real engineering and scientific applications.  ...  In the following paper [31] , the authors propose a novel forecasting model based on multi-valued neutrosophic sets to find fluctuation rules and patterns of a time series.  ... 
doi:10.3390/sym11020171 fatcat:be6tdw2oz5hu3gbfj3llcn4pgm

Rough set-based entropy measure with weighted density outlier detection method

Tamilarasu Sangeetha, Amalanathan Geetha Mary
2022 Open Computer Science  
The rough set theory is a powerful numerical model used to handle the impreciseness and ambiguity of data.  ...  So far research works were carried out only for multigranulation rough sets in extraction, selection of features, reduction of data, decision rules, and pattern extraction.  ...  Funding information: The authors state no funding involved.  ... 
doi:10.1515/comp-2020-0228 fatcat:4ff72l3fljhx7hidocbyxq574m

A Decision-Making Methodology Based on Expert Systems Applied to Machining Tools Condition Monitoring

Manuel Casal-Guisande, Alberto Comesaña-Campos, Alejandro Pereira, José-Benito Bouza-Rodríguez, Jorge Cerqueiro-Pequeño
2022 Mathematics  
By means of the combination of sound-processing techniques, together with the use of fuzzy-logic inference engines and hierarchization methods based on vague fuzzy numbers, it will be possible to determine  ...  Aiming to show the potential for the use of this methodology, a concept test has been developed, implemented in the form of a short case study.  ...  Informed Consent Statement: Not applicable.  ... 
doi:10.3390/math10030520 fatcat:is2p6xviajguhj4hnpr6j76xa4

A Survey Of The State-Of-The-Arts On Neutrosophic Sets In Biomedical Diagnoses

Nguyen Gia Nhu, Nilanjan Dey, Amira S. Ashour, Le Son
2017 Zenodo  
Fuzzy techniques have extensive solutions for the medical domain applications; however incorporating a new neutrosophic approaches in the medical domain proves its superiority.  ...  Soft computing procedures integrated with medical applications can support the existing medical systems to allow solutions for unsolvable problems.  ...  Neutrosophic set introduced by Florentin Smarandache is a general dominant framework that generalizes the model of the fuzzy set, classic set, intuitionistic fuzzy set, interval valued fuzzy set, and interval-valued  ... 
doi:10.5281/zenodo.1412521 fatcat:wexcss4jcvembeuxhu2ipbyxyu

Recent Literature

2007 Fuzzy sets and systems (Print)  
Melhuish, Hierarchical fuzzy rule based systems using an information theoretic ap-Trillas, On the use of words and fuzzy sets, Inform. Sci. 176(11) (2006) 1463-1487. 3.1.6.  ...  Cloete, J. van Zyl, Fuzzy rule induction in a set cov- ering framework, IEEE Trans. Fuzzy Systems 14(1) (2006) 93-110. 3.1.9.6. 3.2. Information processing 3.2.2. Information retrieval H.C.  ... 
doi:10.1016/j.fss.2007.01.002 fatcat:6d6kezwq2je25mb4us4ieruas4

Updated discussions on 'Hybrid multiple criteria decision-making methods: a review of applications for sustainability issues'

Kao-Yi Shen, Edmundas Kazimieras Zavadskas, Gwo-Hshiung Tzeng
2018 Ekonomska Istrazivanja-Economic Research  
Some soft computing techniques, such as the fuzzy set, have contributed significantly to H.M.C.D.M. studies, emulating the imprecise or uncertain judgments of experts/decision makers in a complex environment  ...  Nevertheless, a new rising trend in H.M.C.D.M., known as multiple rule-based decision-making (M.R.D.M.), which has the advantage of revealing understandable knowledge for supporting systematic improvements  ...  .), C.O.P.R.A.S. in an interval-valued intuitionistic fuzzy environment (C.O.P.R.A.S.-I.V.I.F.) (Hajiagha, Hashemi, & Zavadskas, 2013), C.O.P.R.A.S. with single value neutrosiphic sets (C.O.P.R.A.S.  ... 
doi:10.1080/1331677x.2018.1483836 fatcat:6llfirk4mfemtjutyqjhvx4j5i

Interval Valued Trapezoidal Neutrosophic Set for Prioritization of Non-functional Requirements [article]

Kiran Khatter
2019 arXiv   pre-print
This paper discusses the trapezoidal fuzzy number(TrFN); Interval-valued intuitionistic fuzzy number(IVIFN); neutrosophic set and its operational laws; and, trapezoidal neutrosophic set(TrNS) and its operational  ...  Finally, a method is developed to handle the problems in the multi attribute decision making(MADM) environment using IVTrNWAA operator followed by a numerical example of NFRs prioritization to illustrate  ...  ≤ ( ) ≤ ( ) ≤ 1 Intuitionistic Fuzzy Set(IFS) and Interval Valued Intuitionistic Fuzzy Set(IVIFS) In some cases where human judgement is uncertain and it needs to be incorporated in the solution of a  ... 
arXiv:1905.05238v1 fatcat:77tfvzq4d5c4rphc5zxd674i7i

Fuzzy-Based Time Series Forecasting and Modelling: A Bibliometric Analysis

Luis Palomero, Vicente García, José Salvador Sánchez
2022 Applied Sciences  
This allowed us to present an in-depth performance analysis and a science mapping regarding the current situation of fuzzy time series forecasting and modelling.  ...  The purpose of this paper is to present the results of a systematic literature review regarding the development of fuzzy-based models for time series forecasting in the period 2017–2021.  ...  Informed Consent Statement: Not applicable.  ... 
doi:10.3390/app12146894 fatcat:eywnqlk7hnhovhmfg57yepbapu

Caching Mechanism in Peer-to-Peer Networks through Active XML

Abdullah Alrefae, Eric Pardede, Binh Viet Phan
2012 Journal of Software  
In a synthesis process, such good properties of subsystems as liveness and deadlock-freeness etc, must be preserved in synthesized system.  ...  Finally, some examples are given, illustrating the effectiveness of the proposed approach in modeling and analyzing of large systems.  ...  This work was supported in part by a grant from the Natural Science Foundation of Guangdong (101510631-01000046) and the National Science Foundation of China (60940033).  ... 
doi:10.4304/jsw.7.3.508-515 fatcat:6vlsijzaxjbohh3ti5toew7rmi
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