Garage location selection for residential house by WASPAS-SVNS method

Romualdas Baušys · Birutė Juodagalvienė

88 citations0/0 files storedJournal of Civil Engineering and Management

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Multi-Criteria Decision Making Optimization and Mathematical Programming Fuzzy and Soft Set Theory

Abstract

The paper deals with the location selection problem of the garage at the parcel of a single-family residential house. The mathematical model for this real life problem is constructed within MCDM framework. The significance of the chosen criteria was evaluated by AHP approach. The formulated MCDM problem is solved applying WASPAS extension, namely WASPAS-SVNS. The applied single-valued neutrosophic set allows to modeling uncertainty of the initial information explicitly. A numerical example is considered in order to verify the proposed approach.

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2015Multiple criteria decision-making techniques and their applications – a review of the literature from 2000 to 2014 2014Assessment of regions priority for implementation of solar projects in Iran: New application of a hybrid multi-criteria decision making approach 2015A Hybrid Model Based on Fuzzy AHP and Fuzzy WASPAS for Construction Site Selection 2014Extension of weighted aggregated sum product assessment with interval-valued intuitionistic fuzzy numbers (WASPAS-IVIF)2015Sustainable Assessment of Alternative Sites for the Construction of a Waste Incineration Plant by Applying WASPAS Method with Single-Valued Neutrosophic Set 2014Multi-criteria selection of a deep-water port in the Eastern Baltic Sea 2015Selecting a Contractor by Using a Novel Method forMultiple Attribute Analysis: Weighted Aggregated SumProduct Assessment with Grey Values (WASPAS-G)2014LOGISTICS FREIGHT CENTER LOCATIONS DECISION BY USING FUZZY-PROMETHEE

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2020A novel entropy proposition for spherical fuzzy sets and its application in multiple attribute decision‐making 2022RETRACTED ARTICLE: Picture fuzzy WASPAS technique and its application in multi-criteria decision-making 2018The Location Selection for Roundabout Construction Using Rough BWM-Rough WASPAS Approach Based on a New Rough Hamy Aggregator

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