Evaluation of Gas-Fired Combi Boilers with HF-AHP-MULTIMOORA
Loading...
Files
Date
2022
Authors
Samanlıoğlu, Funda
Ayağ, Zeki
Kirkil, Goekhan
Yucal, Esra
Journal Title
Journal ISSN
Volume Title
Publisher
Hindawi Ltd
Open Access Color
OpenAIRE Downloads
OpenAIRE Views
Abstract
There are many alternative gas-fired combi boilers that can be used to heat residential homes. Evaluation and selection of gas-fired combi boilers for buildings is an intricate multi-criteria decision-making (MCDM) problem involving perhaps contradictory quantifiable and qualitative criteria. In this research, as the MCDM approach, hesitant fuzzy linguistic analytic hierarchy process (HF-AHP) and hesitant fuzzy linguistic multiple objective optimization based on ratio analysis plus full multiplicative form (MULTIMOORA) (HF-MULTIMOORA) are integrated to assess and rank combi boiler alternatives for buildings. First, with HF-AHP, fuzzy criteria weights are determined and then with HF-MULTIMOORA, boiler alternatives are ranked from best to worst. In this integrated HF-AHP-MULTIMOORA method, evaluations of decision-makers are combined with fuzzy envelope approach and then triangular fuzzy numbers are utilized. For comparison analysis, HF-AHP-TOPSIS method is also applied to the same problem. A case study in Turkey is presented where ten combi boiler alternatives are assessed based on fifteen criteria by five decision-makers. We have used various selection criteria for boilers ranging from maximum temperature, heating capacity up to environmental effects and decided on the best combi boiler for heating residential buildings in Turkey.
Description
Keywords
Multicriteria Decision-Making, Linguistic Term Set, Performance Evaluation, Fuzzy Vikor, Selection, Optimization, Methodology, Design, Multicriteria Decision-Making, Linguistic Term Set, Performance Evaluation, Fuzzy Vikor, Selection, Optimization, Methodology, Design
Turkish CoHE Thesis Center URL
Fields of Science
Citation
0
WoS Q
N/A
Scopus Q
Q2
Source
Applied Computational Intelligence and Soft Computing
Volume
2022