Abstract
The paper presents a possibility to use a new PVM-VSI (Preference Vector Method computed in Vector Space of Increments) method in making decisions that demand that different variants should be considered, while being evaluated with respect to different criteria. Hence, knowledge about them is a must, and that knowledge is not necessarily available quantitatively, whereas the very evaluation should be relatively objective; that is, independent from the decision maker’s preferences or opinions. The paper presents the use of the PVM-VSI method in support decisions related to urban development—to rank projects submitted for implementation within the framework of a citizen budget. The ranking will make it feasible to determine which of the submitted projects will have the dominant influence on the town’s sustainable development, and, subsequently, which ones should be presented to citizens as the better ones out of the projects submitted, and to compare the method mentioned with methods used in similar decision-making problems in the past: Fuzzy AHP (Analytic Hierarchy Process), Fuzzy TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution), and Fuzzy PROMETHEE (Preference Ranking Organization METHod for Enrichment of Evaluation).
Highlights
Managing a contemporary town with a view to achieving its sustainable development requires that the urban authorities should have to account for a number of interdependencies between factors influencing or affecting the outcome of decisions being made [1]
The results obtained in the in the method were compared with the results obtained in the TOPSIS, PVM-VSI method were compared with the results obtained in the Fuzzy AHP, Fuzzy TOPSIS, and and NEAT F-PROMETHEE methods
This paper presents a new method called PVM-VSI, used to assist multicriteria decisions
Summary
Managing a contemporary town with a view to achieving its sustainable development requires that the urban authorities should have to account for a number of interdependencies between factors influencing or affecting the outcome of decisions being made [1]. They have to account for economic, social, and environmental factors [2]. In their decision making they will have to be knowledgeable in urban planning, spatial development, technology, ecology, sociology, and social psychology, among others.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
