Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11861/6775
Title: Modified delphi-AHP method based on minimum-cost consensus model and vague set theory for road junction control method evaluation criteria
Authors: Dr. KWOK Pak Ki, Alex 
Lau, Y. K. Henry 
Issue Date: 2016
Source: Journal of Industrial and Intelligent Information, Jan. 2016, vol. 4(1), pp. 76-82.
Journal: Journal of Industrial and Intelligent Information 
Abstract: Group decision making is an important symbol of a democratic society. It helps to explore problems from wider angles and the results generated will usually be widely accepted by the public. Yet, there are drawbacks of group decision making. It usually takes more time and resources than individual decision making and also sometimes the one with a louder voice will dominate the discussion. In this paper, a group decision making framework derived that are based on the modified Delphi-AHP method based on minimum-cost consensus model (MCCM) and vague set theory is proposed to gather different experts’ opinions on the evaluation criteria and their relative importance for choosing a suitable road junction control method in a multi-objectives environment. It is believed that the proposed framework can help to strengthen the advantages and to solve the above drawbacks of group decision making. A numerical case study is proposed to demonstrate the use of this framework.
Type: Other Article
URI: http://hdl.handle.net/20.500.11861/6775
ISSN: 2301-3745
DOI: 10.12720/jiii.4.1.76-82
Appears in Collections:Applied Data Science - Publication

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