A Novel Method for Measuring the Performance of Decision Alternatives in Multi-Criteria Decision Making: Proportional Superiority Approach (PSA) DOI Creative Commons
Furkan Fahri ALTINTAŞ

Journal of Scientific Technology and Engineering Research, Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 6, 2024

In the face of increasing complexity and uncertainty, new multi-criteria decision making (MCDM) methods facilitate informed rational decisions by enhancing problem-solving skills. Therefore, discovery MCDM is great importance. this context, study introduces a model (Proportional Superiority Approach-PSA) based on fundamental logic measuring performance alternatives, which relies proportional increase alternatives to each other, aiming expand modeling enrich literature. Initially, comparative analysis proposed method was conducted. According findings, although relationship PSA with other included in high, it found be different from those methods. results analysis, observed that credible reliable. scope simulation 10 scenarios were obtained, as number increased, levels differed decreased. Furthermore, capable discriminating between performances through variance measurement. Finally, level measured within scenarios, variances homogeneous scenarios. according evaluated robust stable.

Language: Английский

Evaluating the Impact of Weighting Methods on the Stability of Scores for Alternatives in Multi-Criteria Decision-Making Problems DOI Open Access
Nguyen Thi Dieu Linh, Nguyễn Hồng Sơn, Dang Xuan Thao

et al.

Engineering Technology & Applied Science Research, Journal Year: 2025, Volume and Issue: 15(1), P. 19998 - 20004

Published: Feb. 2, 2025

Criteria weights play a crucial role in Multi-Criteria Decision Making (MCDM) problems when selecting the best alternative from set of options. This study aims to compare three objective weighting methods: MEthod based on Removal Effects (MEREC), Entropy, and Symmetry Point Criterion (SPC). These methods were applied case involving ranking eight sustainable energy development alternatives, each characterized by seventeen criteria. Four representative MCDM methods, Simple Additive Weighting (SAW), Technique for Order Preference Similarity Ideal Solution (TOPSIS), Proximity Indexed Value (PIV), Root Assessment Method (RAM), also deployed. The results revealed that Entropy method provided most stable consistent performance, followed MEREC method, with SPC showing least stability.

Language: Английский

Citations

1
Innovative hybrid fuzzy MCDM techniques for adopting the appropriate renewable energy strategy DOI Creative Commons
Ghazi M. Magableh, Mahmoud Z. Mistarihi,

Saba Abu Dalo

et al.

Resources Environment and Sustainability, Journal Year: 2025, Volume and Issue: unknown, P. 100234 - 100234

Published: April 1, 2025

Language: Английский

Citations

0
Incorporating Negative Values into the Simple Additive Weighting (SAW) Under Uncertain Conditions: An Applications in Project Manager Selection Problem DOI
Mohammad Azadfallah

Published: Jan. 1, 2025

Language: Английский

Citations

0
Analyzing the Turkish insurance companies’ financial performance traded on BIST implementing the critic-based PIV method DOI Creative Commons
Mehmet Mete Karadağ

Insurance Markets and Companies, Journal Year: 2024, Volume and Issue: 15(2), P. 47 - 60

Published: Nov. 26, 2024

The insurance industry, which is an important component of the financial channel, essential part Turkish economy, and assessing performance critical for companies to improve efficiency productivity, increase competitiveness, enhance fiscal health. study presented a technique all registered in Borsa Istanbul by implementing integrated method that combines Criteria Importance Through Intercriteria Correlation (CRITIC) Proximity Indexed Value (PIV) methods. rationale PIV lack adequate studies available on employed this specific model. Initially, 18 evaluation criteria were defined. CRITIC was applied weights, ranked using PIV. Subsequently, COPRAS, VIKOR, ARAS, SAW Multi-Criteria Decision-Making (MCDM) methodologies applied. Performance rankings derived from compared with those obtained other MCDM models employed. Finally, Spearman’s Rank Kendall’s Coefficient methods analyze extent correlations interactions between ranking outcomes. assessment results pointed out AGESA received highest rank performance, AKGRT had lowest rank. consistently high examined. Nevertheless, RAYSG constantly poorly. All deployed final two positions. study’s findings underscore outcomes largely align alternate utilized.

Language: Английский

Citations

0
A Novel Method for Measuring the Performance of Decision Alternatives in Multi-Criteria Decision Making: Proportional Superiority Approach (PSA) DOI Creative Commons
Furkan Fahri ALTINTAŞ

Journal of Scientific Technology and Engineering Research, Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 6, 2024

In the face of increasing complexity and uncertainty, new multi-criteria decision making (MCDM) methods facilitate informed rational decisions by enhancing problem-solving skills. Therefore, discovery MCDM is great importance. this context, study introduces a model (Proportional Superiority Approach-PSA) based on fundamental logic measuring performance alternatives, which relies proportional increase alternatives to each other, aiming expand modeling enrich literature. Initially, comparative analysis proposed method was conducted. According findings, although relationship PSA with other included in high, it found be different from those methods. results analysis, observed that credible reliable. scope simulation 10 scenarios were obtained, as number increased, levels differed decreased. Furthermore, capable discriminating between performances through variance measurement. Finally, level measured within scenarios, variances homogeneous scenarios. according evaluated robust stable.

Language: Английский

Citations

0