Multicriteria Decision-Making Model for Selection of Build-Operate-Transfer Toll Road Proposals in the Public Sector

2003 ◽  
Vol 1848 (1) ◽  
pp. 1-9 ◽  
Author(s):  
Abdulaziz Y. Ababutain ◽  
A. Graham R. Bullen
Keyword(s):  
Decision Making ◽  
Public Sector ◽  
Process Model ◽  
Selection Process ◽  
Multicriteria Decision Making ◽  
Decision Makers ◽  
Multicriteria Decision ◽  
The Public ◽  
Toll Road ◽  
Decision Making Model

Governments in many countries have recently begun privatizing infrastructure sectors. Some of the forces that have been driving this movement are a scarcity of public resources, increase in the demand for services, political trend toward privatization, and expansion of global capital markets. The build–operate–transfer (BOT) approach has played a growing role in the implementation of infrastructure privatization. Because of the types, uncertainty, and high risk of BOT projects, the selection process is crucial. To date, decision makers in the public sector have lacked a set of complete selection criteria or a systematic process to help them make quality selections. The main objectives are to understand the details of toll road projects so that ( a) major criteria and variables related to toll roads can be identified and ( b) an integrated decision-making process model can be developed as a framework to help the public sector make quality decisions. The methodology includes development of a multicriteria decision-making model based on the analytical hierarchy process and validated by a case study of the California Department of Transportation privatization program. The model makes the selection process clear and allows it to be traced back by all parties. That fact will likely encourage the private sector to bid on BOT projects. A framework is developed that will enable the public sector to make better decisions when selecting BOT toll road proposals and to also save decision makers time and effort.

scholarly journals A Multicriteria Decision Making Approach Based on Fuzzy Theory and Credibility Mechanism for Logistics Center Location Selection

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Bowen Wang ◽  
Haitao Xiong ◽  
Chengrui Jiang
Keyword(s):  
Decision Making ◽  
Fuzzy Theory ◽  
Multicriteria Decision Making ◽  
Decision Makers ◽  
Location Selection ◽  
Logistics Center ◽  
Multicriteria Decision ◽  
Model Based ◽  
Center Location ◽  
Decision Making Model

As a hot topic in supply chain management, fuzzy method has been widely used in logistics center location selection to improve the reliability and suitability of the logistics center location selection with respect to the impacts of both qualitative and quantitative factors. However, it does not consider the consistency and the historical assessments accuracy of experts in predecisions. So this paper proposes a multicriteria decision making model based on credibility of decision makers by introducing priority of consistency and historical assessments accuracy mechanism into fuzzy multicriteria decision making approach. In this way, only decision makers who pass the credibility check are qualified to perform the further assessment. Finally, a practical example is analyzed to illustrate how to use the model. The result shows that the fuzzy multicriteria decision making model based on credibility mechanism can improve the reliability and suitability of site selection for the logistics center.

scholarly journals Approaches for multicriteria decision-making based on the hesitant fuzzy best–worst method

2021 ◽  
Author(s):  
Jian Li ◽  
Li-li Niu ◽  
Qiongxia Chen ◽  
Zhong-xing Wang
Keyword(s):  
Decision Making ◽  
Comparative Analysis ◽  
Programming Model ◽  
Multicriteria Decision Making ◽  
Decision Makers ◽  
Multicriteria Decision ◽  
Preference Relations ◽  
Fuzzy Preference Relations ◽  
Decision Making Models ◽  
Best Worst Method

AbstractHesitant fuzzy preference relations (HFPRs) have been widely applied in multicriteria decision-making (MCDM) for their ability to efficiently express hesitant information. To address the situation where HFPRs are necessary, this paper develops several decision-making models integrating HFPRs with the best worst method (BWM). First, consistency measures from the perspectives of additive/multiplicative consistent hesitant fuzzy best worst preference relations (HFBWPRs) are introduced. Second, several decision-making models are developed in view of the proposed additive/multiplicatively consistent HFBWPRs. The main characteristic of the constructed models is that they consider all the values included in the HFBWPRs and consider the same and different compromise limit constraints. Third, an absolute programming model is developed to obtain the decision-makers’ objective weights utilizing the information of optimal priority weight vectors and provides the calculation of decision-makers’ comprehensive weights. Finally, a framework of the MCDM procedure based on hesitant fuzzy BWM is introduced, and an illustrative example in conjunction with comparative analysis is provided to demonstrate the feasibility and efficiency of the proposed models.

Fuzzy multicriteria decision-making-based optimal Zn–Al alloy selection in corrosive environment

2020 ◽  
Vol 111 (11) ◽  
pp. 953-963
Author(s):  
Ankur V. Bansod ◽  
Awanikumar P. Patil ◽  
Kanak Kalita ◽  
B. D. Deshmukh ◽  
Nilay Khobragade
Keyword(s):  
Decision Making ◽  
Weight Loss ◽  
Multicriteria Decision Making ◽  
Decision Makers ◽  
Al Alloy ◽  
Ideal Solution ◽  
Corrosive Environment ◽  
Multicriteria Decision ◽  
Al Content ◽  
The Ideal

Abstract Suitable material selection with emphasis on a specific property or application is an indispensable part of engineering sciences. It is a complex process that involves multiple criteria and often multiple decision makers. The tendency of decision makers to specify their preference in terms of imprecise qualitative statements like ‘good’, ‘bad’ etc. poses a further challenge. Thus, in this research, a comprehensive multicriteria decision-making study was conducted to select the optimal Zn-Al alloy based on performance in a corrosive environment. Four variants of technique for order of preference by similarity to the ideal solution were used to perform the multicriteria decision-making analysis. Group decision and imprecise decision making is handled by incorporating the fuzzy theory concept in a technique for order of preference by similarity to the ideal solution. The effect of addition of aluminium to zinc was studied by examination of microstructure, hardness, and corrosion behaviour. The result indicates that an increase in Al content increases the formation of dendrites. The dendrites were rich in the α phase, which results in an increase in hardness. An increase in Al content in Zn (Zn-22Al and Zn-55Al) results in the uniform distribution of the a phase in the microstructure and reduction of non-equilibrium phases. The potentiodynamic polarisation test revealed that an increase in Al in the alloy decreases the corrosion current density. The weight loss test carried out to validate the potentiodynamic test findings exhibited higher weight loss in pure Zn and lowest in Zn-55Al. Similar results were observed in the salt spray test. The multicriteria decision-making analysis revealed that Zn-55Al is the most suitable alloy in a corrosive environment among the tested alloys.

Framing Information Technology Governance in the Public Sector: Opportunities and Challenges

2015 ◽  
Vol 11 (4) ◽  
pp. 89-101 ◽  
Author(s):  
Khalifa Al-Farsi ◽  
Ramzi EL Haddadeh
Keyword(s):  
Decision Making ◽  
Information Technology ◽  
Public Sector ◽  
It Governance ◽  
Decision Makers ◽  
The Public ◽  
Technology Governance ◽  
Support Organizations ◽  
Information Technology Governance ◽  
Decision Making Processes

Information technology governance is considered one of the innovative practices that can provide support for decision-makers. Interestingly, it has become increasingly a de facto for organizations in seeking to optimise their performance. In principle, information technology governance has emerged to support organizations in the integration of information technology (IT) infrastructures and the delivery of high-quality services. On the other hand, decision-making processes in public sector organisations can be multi-faceted and complex, and decision makers play an important role in implementing technology in the public sector. The aim of this paper is to shed some light on current opportunities and challenges that IT governance is experiencing in the context of public sector services. In this respect, this paper examines the factors influencing the decision-making process to fully appreciate IT governance. Furthermore, this study focuses on combining institutional and individual perspectives to explain how individuals can take decisions in response to institutional influences.

scholarly journals Multicriteria Decision Making Model for the New Team Member Selection Based on Individual and Group-Related Factors

2011 ◽  
Vol 3 (2) ◽  
pp. 103-114
Author(s):  
Jakub Wojnar
Keyword(s):  
Decision Making ◽  
Team Member ◽  
Team Building ◽  
Multicriteria Decision Making ◽  
Individual Characteristics ◽  
Related Factors ◽  
Multicriteria Decision ◽  
Novel Approach ◽  
Member Selection ◽  
Decision Making Model

Multicriteria Decision Making Model for the New Team Member Selection Based on Individual and Group-Related FactorsThis paper presents a novel approach to the team building emphasizing group-related attributes of potential candidates instead of focusing on their individual characteristics during the recruitment process. The main assumption is that the teamwork capabilities are equally if not more important than individual skills or competences when selecting new team member. Myers-Briggs Type Indicator is used for analyzing teamwork capabilities and multicriteria decision making model will be developed as a final solution.

scholarly journals Selection of Unmanned Aerial Vehicles by Using Multicriteria Decision-Making for Defence

2020 ◽  
Vol 2020 ◽  
pp. 1-11 ◽  
Author(s):  
Mustafa Hamurcu ◽  
Tamer Eren
Keyword(s):  
Decision Making ◽  
Unmanned Aerial Vehicles ◽  
Selection Process ◽  
Critical Role ◽  
Multicriteria Decision Making ◽  
Critical Factor ◽  
Unmanned Systems ◽  
Multicriteria Decision ◽  
Aerial Vehicles ◽  
Selection Of

The unmanned systems have been seeing a significant boom in the last ten years in different areas together with technological developments. One of the unmanned systems is unmanned aerial vehicles (UAVs). UAVs are used for reconnaissance and observation in the military areas and play critical role in attack and destroy missions. These vehicles have been winning more features together with developing technology in todays world. In addition, they have been varying with different features. A systematic and efficient approach for the selection of the UAV is necessary to choose a best alternative for the critical tasks under consideration. The multicriteria decision-making (MCDM) approaches that are analytic processes are well suited to deal intricacy in selection of alternative vehicles. This study also proposes an integrated methodology based on the analytic hierarch process (AHP) and technique for order preference by similarity to ideal solution (TOPSIS) to evaluate UAV alternatives for selection process. Firstly, AHP, a MCDM method, is used to determine the weights of each critical factor. Subsequently, it is utilized with the TOPSIS approach to rank the vehicle alternatives in the decision problem. Result of the study shows that UAV-1 was selected as the most suitable vehicle. In results, it is seen that the weights of the evaluation criteria found by using AHP affect the decision-making process. Finally, the validation and sensitivity analysis of the solution are made and discussed.

VENTURE CAPITAL, THE PUBLIC SECTOR AND THE HIGH-TECHNOLOGY INDUSTRY

2008 ◽  
Vol 05 (01) ◽  
pp. 105-122 ◽  
Author(s):  
AVI MESSICA ◽  
TAMIR AGMON
Keyword(s):  
Public Sector ◽  
Venture Capital ◽  
Decision Makers ◽  
Stock Index ◽  
Short Term ◽  
The Public ◽  
Technology Industry ◽  
Highly Correlated ◽  
Decision Making Model ◽  
Practical Implications

We studied the optimal funding of the public sector for the Hi-Tech industry in the presence of short-term, cyclical, venture capital (VC) funding by constructing a decision-making model that results in the optimal governmental support and a model that accounts for the dynamics of the VC industry. We found that the VC industry is highly correlated with the NASDAQ stock index and that the optimal public policy for funding the Hi-Tech sector should be anti-cyclical, dynamic, and conditioned on the VC investments. The models and their validation are discussed as well as the practical implications for policy and decision makers.

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