Browsing by Author "Wang, P"

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A fuzzy analysis method for new-product development
(2005)
Lo, CC
;
Wang, P
;
Chao, KM
;
資訊管理與財務金融系註：原資管所+財金所
;
Department of Information Management and Finance
This paper reports a new idea-screening method for new product development (NPD) with a group of decision makers having imprecise, inconsistent and uncertain preferences. The traditional NPD analysis method determines the solution using the membership function of the fuzzy set which cannot treat the negative evidence. The advantage of vague sets with the capability of representing negative evidences supports the decision makers with ability of modeling uncertain objects. In this paper, we present a new method for new-product screening in the NPD process by relaxing a number of assumptions so that imprecise, inconsistent and uncertain ratings can be considered In addition, a new similarity measure of vague sets is introduced to proceed with the ratings aggregation for a group of decision makers. From numerical illustrations, the proposed model can outperform conventional fuzzy methods. It is able to provide decision makers (DMs) with consistent information and to model the situation where vague and ill-defined information exist in the decision process.
Evaluation of information security related risks of an organization - The application of the multi-criteria decision-making method
(2003)
Guan, BC
;
Lo, CC
;
Wang, P
;
Hwang, JS
;
資訊管理與財務金融系註：原資管所+財金所
In the wake of the fast popularization of information and the rise of electronic commerce, information security is gaining much attention. How to perform the evaluation of the value of assets, how to perform the analysis of the risks associated with assets, and how to protect information assets from sabotage, theft and tamper are important topics in the study of the management of information security. This research addresses the aspects of confidentiality, integrity and availability of information and applies the Analytic Hierarchy Process (AHP) to consolidate expert's opinions on information risks, in order to construct an integrated framework for risk analysis. The BS7799 standard and the risk level matrix(RLM) are used accordingly to evaluate the effectiveness of and to categorize the risk management measures and to create a complete model for the assessment of information assets related risks. Finally, the research results are verified by a case study. The results can be used by organizations as references for information security planning and management process improvements.
Solving consensus measure of ambiguous MPDM problems using vague sets - An application to of risk assessment
(2005)
Lo, CC
;
Wang, P
;
Chao, KM
;
資訊管理與財務金融系註：原資管所+財金所
;
Department of Information Management and Finance
The traditional consensus-evaluation method determines the solution by fuzzy set, but it cannot treat the negative evidence for membership function. In this paper, we present a new method for consensus measure in the risk assessment process by relaxing many assumptions on existing hesitation situations. A new similarity measure of vague sets is introduced A fuzzy synthetic evaluation method is employed to attain the consensus interval of the group via the agreement matrix for Group Decision Making (GDM) problems. The proposed solution algorithm is presented and two consensus policies are given to consensus analysis of risk assessment guided by BS7799. The proposed method improves the soft consensus method proposed by Kacprzyk and Fedrizzi and analyzes the variation trend of group consensus using similarity measures of vague sets and consensus index. From numerical illustrations, the usefulness and efficiency of the proposed method has shown, particularly in a situation with vague and ill-defined data.