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Open AccessArticle

Use of the PVM Method Computed in Vector Space of Increments in Decision Aiding Related to Urban Development

1
Faculty of Technology, The Jacob of Paradies University, 66-400 Gorzów Wielkopolski, Poland
2
Faculty of Economics and Management, University of Szczecin, 71-101 Szczecin, Poland
3
Faculty of Computer Science and Information Systems, West Pomeranian University of Technology, 70-310 Szczecin, Poland
*
Author to whom correspondence should be addressed.
Symmetry 2019, 11(4), 446; https://doi.org/10.3390/sym11040446
Received: 19 January 2019 / Revised: 24 March 2019 / Accepted: 26 March 2019 / Published: 28 March 2019
(This article belongs to the Special Issue Multi-Criteria Decision Aid methods in fuzzy decision problems)
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). View Full-Text
Keywords: PVM-VSI; Fuzzy AHP; Fuzzy TOPSIS; NEAT F-PROMETHEE; multi-criteria decision aid; urban development; sustainable development PVM-VSI; Fuzzy AHP; Fuzzy TOPSIS; NEAT F-PROMETHEE; multi-criteria decision aid; urban development; sustainable development
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Kannchen, M.; Ziemba, P.; Borawski, M. Use of the PVM Method Computed in Vector Space of Increments in Decision Aiding Related to Urban Development. Symmetry 2019, 11, 446.

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