Group Decision-Making Oriented Civil Engineering Undergraduate Education Reform in China

2012 ◽  
Vol 591-593 ◽  
pp. 2180-2185
Author(s):  
Chun Ying Huang ◽  
Xiao Ming Wang
Keyword(s):  
Decision Making ◽  
Sustainable Development ◽  
Education Reform ◽  
Group Decision Making ◽  
Undergraduate Education ◽  
Civil Engineering ◽  
Group Decision ◽  
Construction Project ◽  
Future Work ◽  
Education In China

This paper studies civil engineering undergraduate education reform in China in the context of sustainable development. At first, from the perspective of sustainable development and symbiosis, group decision-making for the construction project aiming at the sustainability and the harmony of development is very necessary for ensuring the common and long-term interests of all the stakeholders and their successors, which should be performed based on the consensus and cooperation of all the decision-makers. Secondly, some present problems of civil engineering undergraduate education in China, which can do harm to group decision-making, are discussed. In the end, this paper gives some suggestions for civil engineering undergraduate education reform in China, to help the undergraduates establish the concepts of sustainable development, harmonious symbiosis and group decision-making in their minds consciously, so as to make them achieve sustainable development and harmonious relationship between the construction project and the environment actively during their future work.

VPRS-Based Group Decision-Making for Risk Response in Petroleum Investment

2013 ◽  
pp. 286-295
Author(s):  
Gang Xie ◽  
Wuyi Yue ◽  
Shouyang Wang
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Group Decision ◽  
Project Investment ◽  
Risk Response ◽  
Multi Objective ◽  
Multi Objective Programming ◽  
Risk Indices ◽  
Multiple Risks ◽  
Future Work

From the perspective of risk response in petroleum project investment, the authors use a group decision-making (GDM) approach based on a variable precision rough set (VPRS) model for risk knowledge discovery, where experts were invited to identify risk indices and evaluate risk exposure (RE) of individual projects. First, the approach of VPRS-based GDM is introduced. Next, while considering multiple risks in petroleum project investment, the authors use multi-objective programming to obtain the optimal selection of project portfolio with minimum RE, where the significance of risk indices is assigned to each of corresponding multi-objective functions as a weight. Then, a numerical example on a Chinese petroleum company’s investments in overseas projects is presented to illustrate the proposed approach, and some important issues are analyzed. Finally, conclusions are drawn and some topics for future work are suggested.

A novel two-phase group decision making approach for construction project selection in a fuzzy environment

2012 ◽  
Vol 36 (9) ◽  
pp. 4197-4217 ◽  
Author(s):  
S. Ebrahimnejad ◽  
S.M. Mousavi ◽  
R. Tavakkoli-Moghaddam ◽  
H. Hashemi ◽  
B. Vahdani
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Group Decision ◽  
Construction Project ◽  
Project Selection ◽  
Two Phase ◽  
Fuzzy Environment ◽  
Phase Group

VPRS-Based Group Decision-Making for Risk Response in Petroleum Investment

2010 ◽  
Vol 1 (3) ◽  
pp. 45-54 ◽  
Author(s):  
Gang Xie ◽  
Wuyi Yue ◽  
Shouyang Wang
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Group Decision ◽  
Project Investment ◽  
Risk Response ◽  
Multi Objective ◽  
Multi Objective Programming ◽  
Risk Indices ◽  
Multiple Risks ◽  
Future Work

From the perspective of risk response in petroleum project investment, the authors use a group decision-making (GDM) approach based on a variable precision rough set (VPRS) model for risk knowledge discovery, where experts were invited to identify risk indices and evaluate risk exposure (RE) of individual projects. First, the approach of VPRS-based GDM is introduced. Next, while considering multiple risks in petroleum project investment, the authors use multi-objective programming to obtain the optimal selection of project portfolio with minimum RE, where the significance of risk indices is assigned to each of corresponding multi-objective functions as a weight. Then, a numerical example on a Chinese petroleum company’s investments in overseas projects is presented to illustrate the proposed approach, and some important issues are analyzed. Finally, conclusions are drawn and some topics for future work are suggested.

Group decision-making in civil engineering based on AHP and PROMETHEE methods

2020 ◽  
Vol 29 (4) ◽  
pp. 474-484
Author(s):  
Ivan Marović ◽  
Diana Car-Pušić ◽  
Martina Šopić ◽  
Ksenija Tijanić
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Construction Management ◽  
Civil Engineering ◽  
Group Decision ◽  
Current Knowledge ◽  
Decision Makers ◽  
Potential Applications ◽  
Hierarchy Process ◽  
Engineering Projects

The Analytical Hierarchy Process (AHP) and PROMETHEE have gained increasing attention in the field of construction management as techniques for the analysis of complex situations and as decision support for decision makers. However, these two methods in themselves or their potential applications to problems of construction management are not sufficiently defined in the existing literature. The environment of group decision-making bring even more challenges. This paper consolidates and critically discusses the current knowledge on the application of AHP and PROMETHEE methods in the light of the specifics of the construction industry. A systematic literature review was used to select the contributions indexed in the databases Scopus and Web of Science. The findings indicate that the studies deal with broad topics and different aspects in different phases of civil engineering projects. This paper provides a useful reference work for researchers and practitioners interested in the application of AHP and PROMEETHEE as tools for group decision-making in civil engineering.

VPRS-Based Group Decision-Making for Risk Response in Petroleum Investment

2012 ◽  
pp. 1370-1379
Author(s):  
Gang Xie ◽  
Wuyi Yue ◽  
Shouyang Wang
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Group Decision ◽  
Project Investment ◽  
Risk Response ◽  
Multi Objective ◽  
Multi Objective Programming ◽  
Risk Indices ◽  
Multiple Risks ◽  
Future Work

From the perspective of risk response in petroleum project investment, the authors use a group decision-making (GDM) approach based on a variable precision rough set (VPRS) model for risk knowledge discovery, where experts were invited to identify risk indices and evaluate risk exposure (RE) of individual projects. First, the approach of VPRS-based GDM is introduced. Next, while considering multiple risks in petroleum project investment, the authors use multi-objective programming to obtain the optimal selection of project portfolio with minimum RE, where the significance of risk indices is assigned to each of corresponding multi-objective functions as a weight. Then, a numerical example on a Chinese petroleum company’s investments in overseas projects is presented to illustrate the proposed approach, and some important issues are analyzed. Finally, conclusions are drawn and some topics for future work are suggested.

scholarly journals AN EXTENDED COPRAS MODEL FOR MULTIPLE ATTRIBUTE GROUP DECISION MAKING BASED ON SINGLE-VALUED NEUTROSOPHIC 2-TUPLE LINGUISTIC ENVIRONMENT

2021 ◽  
Vol 0 (0) ◽  
pp. 1-16
Author(s):  
Guiwu Wei ◽  
Jiang Wu ◽  
Yanfeng Guo ◽  
Jie Wang ◽  
Cun Wei
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Group Decision ◽  
Construction Project ◽  
Numerical Example ◽  
Attribute Weights ◽  
Multiple Attribute ◽  
Maximizing Deviation Method ◽  
Deviation Method

In this article, we develop the COPRAS model to solve the multiple attribute group decision making (MAGDM) under single-valued neutrosophic 2-tuple linguistic sets (SVN2TLSs). Firstly, we introduce the relevant knowledge about SVN2TLSs in a nutshell, such as the definition, the operation laws, a few of fused operators and so on. Then, combine the traditional COPRAS model with SVN2TLNs, and structure as well as elucidate the computing steps of the SVN2TLNCOPRAS pattern. Furthermore, in this article, we propose a method for determining attribute weights in different situations relying on the maximizing deviation method with SVN2TLNs. Last but not least, a numerical example about assessing the safety of construction project has been designed. And for further demonstrating the advantage of the new designed method, we also select a number of existed methods to have comparisons.

scholarly journals The Need for General Collective Intelligence in Addressing the Sustainable Development Goals

2020 ◽  
Author(s):  
Andy E Williams
Keyword(s):  
Decision Making ◽  
Sustainable Development ◽  
Group Decision Making ◽  
Sustainable Development Goals ◽  
Group Decision ◽  
Collective Intelligence ◽  
Collective Impact ◽  
Optimal Solutions ◽  
The Sustainable Development ◽  
Development Goals

Abstract Background: This study explores the factors constraining group decision-making, where those factors might tend to restrict groups from selecting optimal solutions with regards to sustainability or sustainable development. This study also explores the factors constraining group decision-making from framing problems in the optimal way (choosing the optimal problem to solve), and how together these factors constraining groups from choosing the optimal problem to solve or the optimal solution to solve it with, might tend to bar groups from achieving optimal outcomes. To address the first set of constraints, collective intelligence algorithms aim to use the intelligence of crowds to select optimal solutions. To address the second set of constraints, General Collective Intelligence solutions, as defined in this paper, aim to further improve outcomes by selecting the optimal problem to solve.Results: In the absence of General Collective Intelligence fundamental economic forces are suggested to drive a continual increase in the alignment of group decision-making with the interests of decision-makers rather than with optimizing collective impact. And while sustainability and sustainable development might be achieved locally in the face of this misalignment, globally this misalignment is suggested to compete directly against that achievement. For this reason, maximizing collective outcomes such as impact on sustainability or sustainable development is suggested to require General Collective Intelligence in order to reliably increase the forces driving groups towards prioritizing collective impact until those forces are greater than the forces driving this misalignment. As a result, without General Collective Intelligence this misalignment of group decision-making in a direction other than optimal collective impact is suggested to be a hidden "bug" that may prevent sustainability and sustainable development from being reliably achievable globally through current sustainability or sustainable development programs.Conclusions: General Collective Intelligence is a pattern of biomimicry that potentially replicates the robust and stable multi-cellular cooperation nature has evolved over more than a billion years to enable cells in organisms to cooperate to sustainably achieve outcomes. Platforms organizing groups into such a General Collective Intelligence are suggested to be required in order for sustainability or the sustainable development goals to be reliably achievable globally.

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