Hybrid Rough Sets and Applications in Uncertain Decision-Making

Jian, Lirong; Liu, Sifeng; Lin, Yi

doi:10.1201/9781420087499

Cited by 16 publications

(12 citation statements)

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“…Thus, objects that carry the same or similar information may not be distinguished from the information we can access. Non-distinguishable patterns are called the element set or information granule (building block) (Jian et al, 2011). The indistinguishable elements form the boundary set and elements at the boundary are not included in the set itself or its complement classes.…”

Section: Methodsmentioning

confidence: 99%

Work and family conflict analysis of female entrepreneurs in Turkey and classification with rough set theory

Batı

Armutlulu

2020

Humanit Soc Sci Commun

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Entrepreneurs face numerous challenges and experience conflicts in their daily lives. However, it is clear that female entrepreneurs have more conflicts than male ones due to society's perception of women and various expectations from them, and consequently, these conflicts affect women's investment decisions. In this study, especially conflict levels of female entrepreneurs at work and in family have been investigated. Also, this study dwells upon how the roles that female entrepreneurs play in family and at work shape their investment plans and how the conflicts they experience affect their investment decisions. In this study, a total of 348 face-to-face interviews with female entrepreneurs, from the four major cities of the most economically developed region of Turkey, have been conducted, and various questions about demographic characteristics, business characteristics, entrepreneurship densities, business, and family conflict situations and investment plans have been asked. The obtained data has been analyzed and classified via rough set theory. The correlative relationship between conflict and investment decision has also been demonstrated. This paper contributes to the extant literature-in which there is an essential gap relating to female entrepreneurs in Turkey-by describing their status, conflict levels and investment decisions with quantitative data. The study presents a new perspective on the classification of female entrepreneurs with a rough set theory which is considered to be superior to other classification methods in terms of classifying objects with the same characteristics according to different decision situations.

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Section: Methodsmentioning

confidence: 99%

Work and family conflict analysis of female entrepreneurs in Turkey and classification with rough set theory

Batı

Armutlulu

2020

Humanit Soc Sci Commun

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“…The basic idea of grey correlation analysis is to see whether the relation is close or not by the similarity among the geometrical shapes of sequence curves. The closer the sequence curves are, the greater the correlation is and vice versa ( Jian et al, 2011).…”

Section: Grey Incidence Analysis and Rough Set Theorymentioning

confidence: 99%

“…A discernibility function f S for an information system S is a Boolean function of m Boolean variables a 1 n ; :::; a m n defined as follows ( Jian et al, 2011):…”

Section: Energy Audit Reportsmentioning

confidence: 99%

“…In the grey system theory, each sequences represents as a factor, a model, a program, an act, and so on. To understand the borders of grey system and make analysis of the primary and secondary factors, the recognition mode, the optimization program, disposal behavior, and so on, it is necessary to make modeling analysis on the relationship between sequences, and it is called the grey incidence analysis ( Jian et al, 2011). The rough set method is a series of logical reasoning procedures for analyzing an information system, a table composed of objects with values of conditional and decision attributes.…”

Section: Introductionmentioning

confidence: 99%

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Using grey incidence to analyze the energy audit reports and rough set for rule extraction

Karimi

Forrest

2016

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Purpose The purpose of this paper is to analyze the energy audit reports in order to define the most favorable factors affecting energy consumption of buildings. Since energy audit of buildings includes assessment of occupants comfort level in addition to the technical data of buildings so some rules are extracted to model the employees thermal comfort level in organization. Design/methodology/approach Some tools of RST and GIA are used in this research to analyze the energy consumption of official buildings. “Average energy consumption of building per year” is selected as a system characteristic in GIA and as a decision attribute in RST to show the behavior of buildings energy consumption. Ten technical sequences of buildings are chosen as relevant factors of behavior and conditional attributes in GIA and RST. In order to model the employees thermal comfort level in organization by RST, ten technical attributes of buildings are selected as condition attributes and thermal comfort level of employees is selected as decision attribute. Due to the different algorithms of data complement, discretization, reduction, and rule generation, four rule models are constructed. Cross-validation is used for evaluation of the model results and the best model is chosen with 62 rules and 99.8 percent of accuracy. Findings According to the results of GIA and RST, “Uncontrolled area of the building” has been diagnosed as the most important factor between other relevant factors/attributes and it has the greatest effect on energy consumption of building. Four rule models have been extracted from deferent decision tables in order to describe the thermal comfort level of employees in organization. The maximum number of rules relates to the conditional combination/GA model with 1263 rules and average accuracy of 99.7 percent and the minimum number relates to the conditional combination/Janson model with 62 rules and average accuracy of 99.8 percent. Research limitations/implications The total observations for rule extraction is 81 and the results can be improved by further samples. Originality/value It shows that “Uncontrolled area of the building” is the most important factor/attribute to define the consumption of buildings and thermal comfort level of employees in organization.

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“…The rough set theory [1,2] is mainly focused on crisp information granulation, while its basic concept is indiscernibility, for example, an indiscernibility between different objects deduced by different attribute values of described objects in the information system; whereas the fuzzy set theory is regarded as a mathematical tool for imitating the fuzziness in the human classification mechanism, which mainly deals with fuzzy information granulation. Because of its simplicity and similarity with the human mind, its concept is always used to express quantity data expressed by language and membership functions in the intelligent system.…”

Section: Introductionmentioning

confidence: 99%

A Variable Precision Fuzzy Rough Set Approach to a Fuzzy-Rough Decision Table

Jian¹,

Li²

2016

dtcse

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Abstract. In a real world, non-empty boundaries between classes may be both rough and fuzzy. In order to make decision in fuzzy approximation space, a fuzzy VPRS (variable precision rough set) approach is proposed based on substitution of the indiscernibility relation by a fuzzy indiscernibility relation in the rough approximation of decision classes, which can obtain probabilistic rules from fuzzy decision tables. Some set theoretic properties of the proposed approach are discussed.

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Hybrid Rough Sets and Applications in Uncertain Decision-Making

Cited by 16 publications

References 0 publications

Work and family conflict analysis of female entrepreneurs in Turkey and classification with rough set theory

Work and family conflict analysis of female entrepreneurs in Turkey and classification with rough set theory

Using grey incidence to analyze the energy audit reports and rough set for rule extraction

A Variable Precision Fuzzy Rough Set Approach to a Fuzzy-Rough Decision Table

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