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Symmetry 2017, 9(8), 151; doi:10.3390/sym9080151

Selecting Project Delivery Systems Based on Simplified Neutrosophic Linguistic Preference Relations

1
School of Business, Central South University, Changsha 410083, China
2
School of Business, Hunan University of Science and Technology, Xiangtan 411201, China
3
School of Economics and Management, Hunan University of Science and Engineering, Yongzhou 425199, China
4
Scientific Research and Organization Department of Hunan Federation of Social Science Circles, Changsha 410003, China
*
Author to whom correspondence should be addressed.
Received: 14 July 2017 / Revised: 29 July 2017 / Accepted: 3 August 2017 / Published: 9 August 2017
(This article belongs to the Special Issue Fuzzy Techniques for Decision Making)
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Abstract

Project delivery system selection is an essential part of project management. In the process of choosing appropriate transaction model, many factors should be under consideration, such as the capability and experience of proprietors, project implementation risk, and so on. How to make their comprehensive evaluations and select the optimal delivery system? This paper proposes a decision-making approach based on an extended linguistic preference structure: simplified neutrosophic linguistic preference relations (SNLPRs). The basic elements in SNLPRs are simplified neutrosophic linguistic numbers (SNLNs). First, several distance measures of SNLNs are introduced. A distance-based consistency index is provided to measure the consistency degree of a simplified neutrosophic linguistic preference relation (SNLPR). When the SNLPR is not acceptably consistent, a consistency-improving automatic iterative algorithm may be used. Afterwards, a decision-making method with SNLPRs is developed. The example of its application in project delivery systems’ selection is offered, and a comparison analysis is given in the end as well. View Full-Text
Keywords: project delivery system selection; preference relations; simplified neutrosophic linguistic number; distance-based consistency index; improving consistency project delivery system selection; preference relations; simplified neutrosophic linguistic number; distance-based consistency index; improving consistency
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Luo, S.-Z.; Cheng, P.-F.; Wang, J.-Q.; Huang, Y.-J. Selecting Project Delivery Systems Based on Simplified Neutrosophic Linguistic Preference Relations. Symmetry 2017, 9, 151.

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