The Experts below are selected from a list of 151068 Experts worldwide ranked by ideXlab platform
Hepu Deng - One of the best experts on this subject based on the ideXlab platform.
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Evaluation of Cloud Services: A Fuzzy Multicriteria Group Decision Making Method
2016Co-Authors: Santoso Wibowo, Hepu DengAbstract:This paper formulates the performance evaluation of cloud services as a multicriteria Group Decision Making problem, and presents a fuzzy multicriteria Group Decision Making method for evaluating the performance of cloud services. Interval-valued intuitionistic fuzzy numbers are used to model the inherent subjectiveness and imprecision of the performance evaluation process. An effective algorithm is developed based on the technique for order preference by similarity to ideal solution method and the Choquet integral operator for adequately solving the performance evaluation problem. An example is presented to demonstrate the applicability of the proposed fuzzy multicriteria Group Decision Making method for solving the multicriteria Group Decision Making problem in real world situations.
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FSDM - Consensus development in Group Decision Making under uncertainty
2016Co-Authors: Hepu Deng, J ZhaoAbstract:This paper presents a Decision support system (DSS) for developing consensus in Group Decision Making. A fuzzy consensus index is proposed to evaluate Group consensus in Group Decision Making. This consensus index is incorporated into a DSS so that better consensus Decisions can be made through interactive exchanges of information between Decision makers and the DSS.
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Consensus-based Decision support for multicriteria Group Decision Making
Computers & Industrial Engineering, 2013Co-Authors: Santoso Wibowo, Hepu DengAbstract:Consensus Decision Making is complex and challenging in multicriteria Group Decision Making due to the involvement of several Decision makers, the presence of multiple, and often conflicting criteria, and the existence of subjectiveness and imprecision in the Decision Making process. To ensure effective Decisions being made, the interest of all the Decision makers usually represented by the degree of consensus in the Decision Making process has to be adequately considered. This paper presents a consensus-based approach for effectively solving the multicriteria Group Decision Making problem. The subjectiveness and imprecision of the Decision Making process is adequately handled by using intuitionistic fuzzy numbers. An interactive algorithm is developed for consensus building in the Group Decision Making process. A Decision support system framework is presented for improving the effectiveness of the consensus building process. An example is presented for demonstrating the applicability of the proposed approach for solving the multicriteria Group Decision Making problem in real world situations.
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AICI (1) - Multicriteria Group Decision Making in a linguistic environment
Artificial Intelligence and Computational Intelligence, 2011Co-Authors: Chunqiao Tan, Hepu Deng, Junyan LiuAbstract:This paper presents a method for solving the multicriteria Group Decision Making problem in an uncertain linguistic environment. To ensure an effective aggregation of the uncertain linguistic variables in multicriteria Group Decision Making for adequately modeling the uncertainty and imprecision of the Decision Making process, an uncertain linguistic Choquet integral operator is proposed. A method based on the proposed linguistic Choquet integral operator is developed. An application of the developed method for evaluating the university faculty on promotion is given that shows the developed method is effective for solving the multicriteria Group Decision Making problem in a linguistic environment.
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Consensus building in Group Decision Making under uncertainty
2008Co-Authors: Hepu DengAbstract:This paper presents a novel consensus index for facilitating consensus building in Group Decision Making under uncertainty. The uncertainty and imprecision inherent in the human Decision Making process is modeled with the use of fuzzy numbers. The concept of fuzzy similarity is used for calculating the consensus index against which the quality of the Group Decision Making outcome can be measured. This consensus index can then be incorporated into a Decision support system so that quality consensus Decisions can be made through interactive exchange of information between multiple Decision makers and the system in Group Decision Making under uncertainty.
Enrique Herreraviedma - One of the best experts on this subject based on the ideXlab platform.
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Group Decision Making based on heterogeneous preference relations with self confidence
Fuzzy Optimization and Decision Making, 2017Co-Authors: Wenqi Liu, Francisco Chiclana, Yucheng Dong, Francisco Javier Cabrerizo, Enrique HerreraviedmaAbstract:Preference relations are very useful to express Decision makers’ preferences over alternatives in the process of Group Decision-Making. However, the multiple self-confidence levels are not considered in existing preference relations. In this study, we define the preference relation with self-confidence by taking multiple self-confidence levels into consideration, and we call it the preference relation with self-confidence. Furthermore, we present a two-stage linear programming model for estimating the collective preference vector for the Group Decision-Making based on heterogeneous preference relations with self-confidence. Finally, numerical examples are used to illustrate the two-stage linear programming model, and a comparative analysis is carried out to show how self-confidence levels influence on the Group Decision-Making results.
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direct approach processes in Group Decision Making using linguistic owa operators
Fuzzy Sets and Systems, 1996Co-Authors: Francisco Herrera, Enrique Herreraviedma, Jose L VerdegayAbstract:Abstract In a linguistic framework, several Group Decision Making processes by direct approach are presented. These processes are designed using the linguistic ordered weighted averaging (LOWA) operator. To do so, first a study is made of the properties and the axiomatic of LOWA operator, showing the rationality of its aggregation way. And secondly, we present the use of LOWA operator to solve Group Decision Making problems from individuals linguistic preference relations.
Ibrahim Doǧan - One of the best experts on this subject based on the ideXlab platform.
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fuzzy Group Decision Making for facility location selection
Information Sciences, 2003Co-Authors: Cengiz Kahraman, Da Ruan, Ibrahim DoǧanAbstract:The selection of a facility location among alternative locations is a multicriteria Decision-Making problem including both quantitative and qualitative criteria. The conventional approaches to facility location problem tend to be less effective in dealing with the imprecise or vagueness nature of the linguistic assessment. Under many situations, the values of the qualitative criteria are often imprecisely defined for the Decision-makers. The aim of the paper is to solve facility location problems using different solution approaches of fuzzy multi-attribute Group Decision-Making. The paper includes four different fuzzy multi-attribute Group Decision-Making approaches. The first one is a fuzzy model of Group Decision proposed by Blin. The second is the fuzzy synthetic evaluation. The third is Yager's weighted goals method and the last one is fuzzy analytic hierarchy process. Although four approaches have the same objective of selecting the best facility location alternative, they come from different theoretic backgrounds and relate differently to the discipline of multi-attribute Group Decision-Making. These approaches are extended to select the best facility location alternative by taking into account quantitative and qualitative criteria. A short comparative analysis among the approaches and a numeric example to each approach are given.
Huizhang Shen - One of the best experts on this subject based on the ideXlab platform.
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Mission-Critical Group Decision-Making
E-Collaboration, 2009Co-Authors: Huizhang Shen, Jidi Zhao, Wayne W. HuangAbstract:Review on Group Decision support systems (GDSS) indicates that traditional GDSS are not specifically designed to support mission-critical Group Decision-Making tasks that require Group Decision- Making to be made effectively within short time. In addition, prior studies in the research literature have not considered Group Decision preference adjustment as a continuous process and neglected its impact on Group Decision-Making. In reality, Group members may dynamically change their Decision preferences during Group Decision-Making process. This dynamic adjustment of Decision preferences may continue until a Group reaches consensus on final Decision. This article intends to address this neglected Group Decision-Making research issue in the literature by proposing a new approach based on the Markov chain model. Furthermore, a new Group Decision weight allocation approach is also suggested. A real case example of New Orleans Hurricane Katrina is used to illustrate the usefulness and effectiveness of the proposed approaches. Finally, the article concludes with the discussion on the proposed approaches and presents directions for future research.
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Mission-Critical Group Decision-Making: Solving the Problem of Decision Preference Change in Group Decision- Making Using Markov Chain Model
Journal of Global Information Management, 2008Co-Authors: Huizhang Shen, Jidi Zhao, Wayne HuangAbstract:Review on Group Decision support systems (GDSS) indicates that traditional GDSS are not specifically designed to support mission-critical Group Decision-Making tasks that require Group Decision-Making to be made effectively within short time. In addition, prior studies in the research literature have not considered Group Decision preference adjustment as a continuous process and neglected its impact on Group Decision-Making. In reality, Group members may dynamically change their Decision preferences during Group Decision-Making process. This dynamic adjustment of Decision preferences may continue until a Group reaches consensus on final Decision. This article intends to address this neglected Group DecisionMaking research issue in the literature by proposing a new approach based on the Markov chain model. Furthermore, a new Group Decision weight allocation approach is also suggested. A real case example of New Orleans Hurricane Katrina is used to illustrate the usefulness and effectiveness of the proposed approaches. Finally, the article concludes with the discussion on the proposed approaches and presents directions for future research.
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ISI - A Quick Group Decision-Making Planning Method for Emergency Response
2007 IEEE Intelligence and Security Informatics, 2007Co-Authors: Huizhang Shen, Jidi ZhaoAbstract:To support the Group Decision-Making in emergency response, it is important to research on how to reach consensus quickly and reliably in the procedure of Group Decision-Making. This paper proposes a new planning method to improve the efficiency of Group Decision-Making based on Markov chain model and uses a real case example of New Orleans Hurricane Katrina to illustrate the usefulness and effectiveness of the proposed approach. The approach is quicker than conventional process in terms of two points. (1) It minimizes the human interventions and makes the most of computer system support to speed up the interactions between the Decision-maker and the system. (2) It researches into the important hidden pattern in the Group Decision-Making process, predicts the possible Decision in the future and thus further speeds up the Decision-Making process. The authors hope that analysis of the dynamic procedure of Decision-maker's preference adjustment will assist researchers not only in better understanding of Group Decision-Making procedure but also in better design of Group Decision Support Systems for emergency response.
Xiaoqiang Cai - One of the best experts on this subject based on the ideXlab platform.
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On Consensus of Group Decision Making with Interval Utility Values and Interval Preference Orderings
Group Decision and Negotiation, 2012Co-Authors: Xiaoqiang CaiAbstract:Uncertainty is a common phenomenon in our real world. Interval utility values and interval preference orderings are two of the simplest and most convenient tools to describe uncertain preferences in Decision Making. In this paper, we investigate consensus problems in Group Decision Making with interval utility values and interval preference orderings. We first establish their transformation relations, and give a formula for calculating the association coefficients of individual uncertain preferences and Group ones. We then develop a consensus procedure for Group Decision Making with interval utility values and interval preference orderings, which takes interval utility values as the uniform preference representation. This procedure can be reduced to a series of processes for dealing with some special Group Decision Making situations, such as: Group Decision Making with utility values and preference orderings, Group Decision Making with interval utility values, Group Decision Making with interval preference orderings, etc. Finally, we illustrate the applications of the developed procedures with two practical examples.
