A New Decision- Making Method Based on Shannon Entropy Analysis
Fuente:
arXiv
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| Autori principali: | , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| _version_ | 1866915263081873408 |
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| author | Babaei, Hamid Mohammadi, Shabnam Ghaneai, Hossein |
| author_facet | Babaei, Hamid Mohammadi, Shabnam Ghaneai, Hossein |
| contents | Because the appropriate combination of existing elements and establishing coordination between them as a consequence of making the right decision to accomplish the intended objective is achieved, management is now one of the main pillars of community management. Decisions are made in the majority of situations when the decision maker is pleased with the conclusion based on numerous factors. Several criteria are used instead of one measure of optimality in multi-criteria decision making, which has been studied by numerous academics in recent decades. The importance of the indicators in this type of decision making is clearly not equal, and it is necessary to understand the coefficient of importance or weight of each of these indicators in decision making. In this work, a novel technique termed scattering axis Dispersion-based Weighting Method (D.W.M) is suggested to address weighing issues, with the closest method in terms of computational logic being their entropy. After constructing the option's criterion matrix, the mean, standard deviation, and coefficient of variation are determined, and then the weight of each criterion is calculated, according to the proposed D.W.M technique. Several numerical examples have been utilized to demonstrate and assess the suggested technique. In addition, the Shannon entropy approach, which is a commonly used weighting method, was chosen to compare the findings. The statistical results demonstrate that these two weighing techniques have a strong connection. In compared to the Shannon entropy technique, the suggested method has the following advantages: Minimal computational burden The data does not need to be normalized. Its use in the case of negative data. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_19753 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | A New Decision- Making Method Based on Shannon Entropy Analysis Babaei, Hamid Mohammadi, Shabnam Ghaneai, Hossein Metric Geometry decision macking Because the appropriate combination of existing elements and establishing coordination between them as a consequence of making the right decision to accomplish the intended objective is achieved, management is now one of the main pillars of community management. Decisions are made in the majority of situations when the decision maker is pleased with the conclusion based on numerous factors. Several criteria are used instead of one measure of optimality in multi-criteria decision making, which has been studied by numerous academics in recent decades. The importance of the indicators in this type of decision making is clearly not equal, and it is necessary to understand the coefficient of importance or weight of each of these indicators in decision making. In this work, a novel technique termed scattering axis Dispersion-based Weighting Method (D.W.M) is suggested to address weighing issues, with the closest method in terms of computational logic being their entropy. After constructing the option's criterion matrix, the mean, standard deviation, and coefficient of variation are determined, and then the weight of each criterion is calculated, according to the proposed D.W.M technique. Several numerical examples have been utilized to demonstrate and assess the suggested technique. In addition, the Shannon entropy approach, which is a commonly used weighting method, was chosen to compare the findings. The statistical results demonstrate that these two weighing techniques have a strong connection. In compared to the Shannon entropy technique, the suggested method has the following advantages: Minimal computational burden The data does not need to be normalized. Its use in the case of negative data. |
| title | A New Decision- Making Method Based on Shannon Entropy Analysis |
| topic | Metric Geometry decision macking |
| url | https://arxiv.org/abs/2504.19753 |