Generalized attribute reduct in rough set theory

Jia, Xiuyi; Shang, Lin; Zhou, Bing; Yao, Yiyu

doi:10.1016/j.knosys.2015.05.017

Cited by 154 publications

(39 citation statements)

References 55 publications

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“…Rough set theory (RST) is a widely accepted method for detecting hidden knowledge and for data mining practical applications in many domains [53][54][55][56]. Pawlak [57] proposed RST in order to overcome multi-attribute decision problems [53] and to determine the relative importance of each attribute.…”

Section: Rough Set Theory:rstmentioning

confidence: 99%

“…Pawlak [57] proposed RST in order to overcome multi-attribute decision problems [53] and to determine the relative importance of each attribute. Rough set theory also clarifies any indiscernibility relation and processes with ambiguous information [54], helping to probe data patterns and decision-making procedures. Rough set theory belongs to a mathematical approach that deals with ambiguous information and uncertain data, the core content (such as information systems, indiscernibility relations, and approximation sets), reduct and core attribute sets, and decision rules.…”

Section: Rough Set Theory:rstmentioning

confidence: 99%

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A Fusion Approach for Exploring the Key Factors of Corporate Governance on Corporate Social Responsibility Performance

Lin

Hsu

2018

Sustainability

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Abstract:It is widely recognized that a firm's well-established corporate governance (CG) has a considerable impact on its corporate social responsibility (CSR) performance. How to determine the main trigger among CG's indicators for strengthening CSR performance is thus an urgent and complicated task due to its (i.e., CSR) multi-dimensional and numerous perspectives. In order to solve this critical problem, the study breaks down CSR into four dimensions and further examines the impact of CG's indicators on each CSR dimension by joint utilization of rough set theory (RST) and decision tree (DT). By doing so, users can realize which one CG indicator is the most essential to CSR performance. Managers can take the results as a reference to allocate valuable and scarce resources to the right place so as to enhance CSR performance in the future. To solidify our research finding, we transform the CSR forecasting model selection into a multiple criteria decision making (MCDM) task and execute a MCDM algorithm. By implementing the MCDM algorithm, users can achieve a much more reliable and consensus decision in today's highly turbulent economic environment. The proposed mechanism, examined by real cases, is a promising alternative for CSR performance forecasting.

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Section: Rough Set Theory:rstmentioning

confidence: 99%

Section: Rough Set Theory:rstmentioning

confidence: 99%

A Fusion Approach for Exploring the Key Factors of Corporate Governance on Corporate Social Responsibility Performance

Lin

Hsu

2018

Sustainability

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“…There are many historical and newly generated issues or problems in Iraq, which have unwanted impact on the civil peace and social union of Iraqis. During the preparation of this study, thirtyone issues are counted, but only twelve issues are selected as vital issues to be used in the research by using the reduct [17] of rough set. …”

Section: Social and Political Background On Iraqmentioning

confidence: 99%

Rough Set and Conflict Analysis to Discover the Conflicts, Alliances and Neutralities among the Iraqi People Components

Ahmed¹,

Hussein²

2018

IJCA

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The democratic era in Iraq that began in Iraq after the spring of 2003 resulted in a conflict among political, ethnic, religious and nationalism components of Iraq. This paper provides an unprecedented research based on scientific foundations to discover the conflicts and alliances among the components of the Iraqi people and determine future Iraqi's tendencies. It depends on the concepts of rough set and conflict analysis. The research required many steps to be achieved. Such steps are: determining the Iraqi vital issues, creating what so-called "information system" database, (IS), submitting the IS to rough set and conflict theory depending on the general system for conflict analysis presented in [1], and modification of conflict model to predict the extension of "Enmity" and "friendship" concepts depending on the suggested algorithms and operations presented in [2].Twelve vital issues were selected, depending on rough set's reduct operation, out of 31 issues. 5692 Iraqis, belong to eight Iraqi blocs, expressed their opinions about the selected issues. The opinions were attained using electronic opinion acquisition system prepared for this purpose. The participator's opinion may be positive, neutral, or negative. The research discovered 42, 11, and 43 positive, neutrals, and negative opinions respectively. However, the overall conflict situation was 17 alliances, 10 conflicts, and 1 neutral relation. The paper includes the prediction that the unique neutral relation would change to an alliance relation. The degree of the strongest conflict between two major Iraqi components was 0.9166667, while the degree of the highest alliance between two Iraqi components is 0.04166667.

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“…Among them, for example, Dai and Tian [3] constructed a fuzzy rough set model for set-valued information systems; Qian and Wang [4] proposed an accelerator, called forward approximation, which combines sample reduction and dimensionality reduction together, can be used to accelerate a heuristic process of fuzzy-rough feature selection; Jia and Shang [5] focused on the problem of how to choose or define appropriate reducts for different users in different applications; Shu and Shen et al [6] proposed an incremental feature selection method which can accelerate the feature selection process in dynamic incomplete data; Li and Zhang et al [7] proposed an attribute importance measure based on the change rate of knowledge, and established a multi-attribute decision model combined with fuzzy integral; Neil and Richard [8] presented two different approaches for unsupervised feature selection, both of approaches use fuzzy-rough sets to select features for inclusion or removal from the final candidate subset. By introducing the notion of fuzzy β-minimal description, Yang [9] defined a novel type of fuzzy covering-based rough set model and generalized this model over the fuzzy lattice.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Roughness Measurement Model Based on Membership Effect

Li¹,

Wang²

2017

Proceedings of the 3rd International Conference on Wireless Communication and Sensor Networks (WCSN 2016)

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Abstract-Rough fuzzy set theory and fuzzy set theory are two commonly used tools in today's uncertain type of information processing. How to construct a fusion method for two kinds of uncertain information systematically has been a focus in both academic and applied fields. By analyzing the characteristics and shortcomings of the current fuzzy roughness sets, this paper puts forward concept of membership effect function and establishes a fuzzy roughness measurement model based on membership effect (denoted by FRM-BME, for short). And then, several necessary and sufficient conditions are given to reflect the value of FRM-BME. Finally, we propose an attribute reduction algorithm based on FRM-BME, and further analyze the characteristics and effectiveness of FRM-BME combined with specific cases. Theoretical analysis and experimental results show that, FRM-BME not only has good structural characteristics and interpretability, but also can simply integrate the fuzzy processing preference into roughness measurement system. To a certain extent, it not only enriches the existing related theories, but also can be widely used in artificial intelligence, resource management and many other fields.

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Generalized attribute reduct in rough set theory

Cited by 154 publications

References 55 publications

A Fusion Approach for Exploring the Key Factors of Corporate Governance on Corporate Social Responsibility Performance

A Fusion Approach for Exploring the Key Factors of Corporate Governance on Corporate Social Responsibility Performance

Rough Set and Conflict Analysis to Discover the Conflicts, Alliances and Neutralities among the Iraqi People Components

Fuzzy Roughness Measurement Model Based on Membership Effect

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