A Comprehensive Review of the Novel Weighting Methods for Multi-Criteria Decision-Making

Ayan, Büşra; ABACIOĞLU, Seda; Basílio, Márcio Pereira

doi:10.3390/info14050285

Cited by 72 publications

(40 citation statements)

References 163 publications

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“…These methods rely on various ways of comparing alternatives and criteria. For the comparison, the preferences are invoked as weight factors, which makes finding suitable weights an important task [7]. However, MOEAs can produce a large amount of solutions, which makes assigning weights tedious.…”

Section: Multi-objective Optimizationmentioning

confidence: 99%

Knowledge Graphs for Supporting Group Decision Making in Manufacturing Industries

Mittermeier,

Senington,

Bandaru

et al. 2024

Advances in Transdisciplinary Engineering

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Group decision making is traditionally a human-centered process, where communication, synchronization and agreement are driven by the stakeholders involved. In the area of multi-objective optimization (MOO), this becomes a challenge, because MOO usually produces a large amount of trade-off solutions that need to be analyzed and discussed by the stakeholders. Moreover, for transparent group decision making, it is important that each decision maker is able to trace the entire decision process – from associated data and models to problem formulation and solution generation, as well as to the preferences and analyses of other decision makers. A graph database is capable of capturing such diverse information in the form of a knowledge graph. It can be used to store and query all dependencies and hence can support complex decision-making tasks. Further advantages are the inherent suitability for visualization and the possibilities for pattern matching, graph analytics and, if semantically enriched, to infer new connections in the graph. In this paper, we show how such a knowledge graph can be used to support more transparent and traceable decision-making activities, particularly when multiple stakeholders with differing preferences or perspectives are involved.

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Section: Multi-objective Optimizationmentioning

confidence: 99%

Knowledge Graphs for Supporting Group Decision Making in Manufacturing Industries

Mittermeier,

Senington,

Bandaru

et al. 2024

Advances in Transdisciplinary Engineering

View full text Add to dashboard Cite

show abstract

“…These methods involve pairwise comparisons of criteria or alternatives based on a scale of preferences. Some examples of objective methods are the entropy, CRITIC, and MEREC methods [47][48][49][50]. These methods use mathematical formulas to calculate the weights based on the information entropy, the correlation coefficients, or the compromise ranking of the alternatives.…”

Section: Multi-criteria Decision Making (Mcdm) Tools and Applicationsmentioning

confidence: 99%

A Novel Hybrid Approach for Prioritizing Investment Initiatives to Achieve Financial Sustainability in Higher Education Institutions Using MEREC-G and RATMI

Abdulaal,

Makki,

Al-Filali

2023

Sustainability

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Financial sustainability is a crucial challenge for higher education institutions due to various challenges and constraints. This necessitates determining their investment priorities accurately based on multiple criteria to ensure a sustainable income. This study puts forward a novel, hybrid approach for prioritizing the financial sustainability plan investment initiatives in higher education institutions using an updated method for the removal effects of criteria with a geometric mean (MEREC-G) and ranking the alternatives based on the trace-to-median index (RATMI) techniques. The developed approach is applied to the strategic financial sustainability plan investment initiatives at King Abdulaziz University (KAU). The study’s results prioritized the investment initiatives based on quantitative and qualitative criteria with different weights. Results also revealed the potential initiatives that can be considered quick-winning initiatives. Furthermore, results determined one high-potential initiative for each of KAU’s financial sustainability plan pillars. Based on the results, the study recommended four steps that assist KAU in ranking the initiatives effectively. Implications of the novel approach include assisting decision makers in higher education institutions to evaluate investment initiative priorities based on objective and subjective criteria to ensure the financial sustainability of their institutions.

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“…Numerous methods have been suggested in the existing literature and employed to tackle various MCDM issues [22]. The technique for order preference by similarity to ideal solution (TOPSIS) is a multi-attribute decision-making method based on distance measurement, which calculates the distance between each attribute and the ideal solution, as well as the distance between each attribute and the anti-ideal solution.…”

Section: Introductionmentioning

confidence: 99%

Performance Test, Index System Establishment, and Comprehensive Evaluation of Earthquake Rescue Robots

Li,

Zhao

2024

Electronics

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To effectively enhance the adaptability of earthquake rescue robots in dynamic environments and complex tasks, there is an urgent need for a comprehensive evaluation method that encompasses establishing an evaluation index system, testing performance indexes, and conducting performance evaluation. Firstly, four main criterion and twenty-three sub-criterion indexes are established by conducting a comprehensive review of existing assessment measures for rescue robots across diverse domains. These indexes are validated through test modules developed by the National Earthquake Response Support Service to obtain corresponding values for each criterion. Moreover, a method for establishing the index system is proposed based on the fuzzy clustering analysis and grey correlation analysis methods. This method effectively addresses issues related to excessive subjectivity, redundancy, and ambiguous stratification of indexes. Subsequently, the DEMATEL is employed to scrutinize the interrelationships and causal connections among each index within the established index system, leading to the identification of input and output indexes based on the analysis outcomes. Finally, as an empirical example, three earthquake rescue robots are comprehensively evaluated and ranked using the super efficiency DEA model. Alongside analyzing results regarding input redundancy and output deficiency, targeted improvement suggestions are provided for each earthquake rescue robot. Additionally, comparison analysis with the entropy weight method and VIKOR method verifies the effectiveness of our proposed method.

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A Comprehensive Review of the Novel Weighting Methods for Multi-Criteria Decision-Making

Cited by 72 publications

References 163 publications

Knowledge Graphs for Supporting Group Decision Making in Manufacturing Industries

Knowledge Graphs for Supporting Group Decision Making in Manufacturing Industries

A Novel Hybrid Approach for Prioritizing Investment Initiatives to Achieve Financial Sustainability in Higher Education Institutions Using MEREC-G and RATMI

Performance Test, Index System Establishment, and Comprehensive Evaluation of Earthquake Rescue Robots

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