The model of grey multi-attribute group decision-making （MAGDM） is studied, in which the attribute values are grey numbers. Based on the generalized dominance-based rough set approach （G-DR- SA）, a synthetic secur...The model of grey multi-attribute group decision-making （MAGDM） is studied, in which the attribute values are grey numbers. Based on the generalized dominance-based rough set approach （G-DR- SA）, a synthetic security evaluation method is presented. With-the grey MAGDM security evaluation model as its foundation, the extension of technique for order performance by similarity to ideal solution （TOPSIS） integrates the evaluation of each decision-maker （DM） into a group＇s consensus and obtains the expected evaluation results of information system. Via the quality of sorting （QoS） of G-DRSA, the inherent information hidden in data is uncovered, and the security attribute weight and DMs＇ weight are rationally obtained. Taking the computer networks in a certain university as objects, the example illustrates that this method can effectively remove the bottleneck of the grey MAGDM model and has practical significance in the synthetic security evaluation.展开更多
It is helpful for people to understand the essence of rough set theory to study the concepts and operations of rough set theory from its information view. In this paper we address knowledge expression and knowledge re...It is helpful for people to understand the essence of rough set theory to study the concepts and operations of rough set theory from its information view. In this paper we address knowledge expression and knowledge reduction in incomplete infolvnation systems from the information view of rough set theory. First, by extending information entropy-based measures in complete information systems, two new measures of incomplete entropy and incomplete conditional entropy are presented for incomplete information systems. And then, based on these measures the problem of knowledge reduction in incomplete information systems is analyzed and the reduct definitions in incomplete information system and incomplete decision table are proposed respectively. Finally, the reduct definitions based on incomplete entropy and the reduct definitions based on similarity relation are compared. Two equivalent relationships between them are proved by theorems and an in equivalent relationship between them is illustrated by an example. The work of this paper extends the research of rough set theory from information view to incomplete information systems and establishes the theoretical basis for seeking efficient algorithm of knowledge acquisition in incomplete information systems.展开更多
This article is a part of a descriptive survey which aims to characterize, classify, and compare the household production in the Municipality of Itapuranga, State of Goias, Brazil, considering the access to the Nation...This article is a part of a descriptive survey which aims to characterize, classify, and compare the household production in the Municipality of Itapuranga, State of Goias, Brazil, considering the access to the National Program for Strengthening Family Agriculture （PRONAF） and its respective differentiation between beneficiary and non-beneficiary groups by the program. It applied the technique of group comparison analysis and frequency inquiry, taking into consideration several variables. Information about the origin, distribution and total income, food safety, land property, production diversification, expenditures and participation in social organizations were collected. The sample consisted of 70 producers, the calculation sample was defined by determined value at the confidence level of 90% whereas the sampling error of 7%. The results allowed describing, classifying, characterizing, and comparing the socio-economic and productive profile of farmers from that area and their access to PRONAF.展开更多
文摘The model of grey multi-attribute group decision-making （MAGDM） is studied, in which the attribute values are grey numbers. Based on the generalized dominance-based rough set approach （G-DR- SA）, a synthetic security evaluation method is presented. With-the grey MAGDM security evaluation model as its foundation, the extension of technique for order performance by similarity to ideal solution （TOPSIS） integrates the evaluation of each decision-maker （DM） into a group＇s consensus and obtains the expected evaluation results of information system. Via the quality of sorting （QoS） of G-DRSA, the inherent information hidden in data is uncovered, and the security attribute weight and DMs＇ weight are rationally obtained. Taking the computer networks in a certain university as objects, the example illustrates that this method can effectively remove the bottleneck of the grey MAGDM model and has practical significance in the synthetic security evaluation.
基金Sponsored by the Youth Natural Science Foundation of Yantai Normal University.
文摘It is helpful for people to understand the essence of rough set theory to study the concepts and operations of rough set theory from its information view. In this paper we address knowledge expression and knowledge reduction in incomplete infolvnation systems from the information view of rough set theory. First, by extending information entropy-based measures in complete information systems, two new measures of incomplete entropy and incomplete conditional entropy are presented for incomplete information systems. And then, based on these measures the problem of knowledge reduction in incomplete information systems is analyzed and the reduct definitions in incomplete information system and incomplete decision table are proposed respectively. Finally, the reduct definitions based on incomplete entropy and the reduct definitions based on similarity relation are compared. Two equivalent relationships between them are proved by theorems and an in equivalent relationship between them is illustrated by an example. The work of this paper extends the research of rough set theory from information view to incomplete information systems and establishes the theoretical basis for seeking efficient algorithm of knowledge acquisition in incomplete information systems.
文摘This article is a part of a descriptive survey which aims to characterize, classify, and compare the household production in the Municipality of Itapuranga, State of Goias, Brazil, considering the access to the National Program for Strengthening Family Agriculture （PRONAF） and its respective differentiation between beneficiary and non-beneficiary groups by the program. It applied the technique of group comparison analysis and frequency inquiry, taking into consideration several variables. Information about the origin, distribution and total income, food safety, land property, production diversification, expenditures and participation in social organizations were collected. The sample consisted of 70 producers, the calculation sample was defined by determined value at the confidence level of 90% whereas the sampling error of 7%. The results allowed describing, classifying, characterizing, and comparing the socio-economic and productive profile of farmers from that area and their access to PRONAF.
