Assessment of artificial neural networks in different sectors by employing the notion of bipolar fuzzy Schweizer-Sklar power aggregation operators Article Swipe
Tahir Mahmood
,
Jabbar Ahmmad
,
Ubaid ur Rehman
,
Muhammad Aslam
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1016/j.asej.2024.102852
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1016/j.asej.2024.102852
In recent scenarios, we cannot ignore the importance of artificial intelligence in many fields like medical diagnosis, computer science, economics and agriculture, etc. In 1960, Schweizer and Sklar developed the concept of Schweizer-Sklar (SS) t-norm and t-conorm by incorporating a parameter which is more flexible and helpful in handling complex and unclear data. If we put parameter then the information of the Hamacher and Lukasiewicz t-norms is simply derived. The primary goal of this study is to develop the fundamental Schweizer-Sklar operational laws for bipolar fuzzy numbers. Additionally, we have defined the notion of bipolar fuzzy Schweizer-Sklar power average and bipolar fuzzy Schweizer-Sklar power geometric aggregation operators. Moreover, we have elaborated on the basic characteristics of these developed notions. We have initiated the algorithm to demonstrate the actual use of this work in artificial neural networking. We have also compared our work with some prevailing theories.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.asej.2024.102852
- OA Status
- gold
- Cited By
- 6
- References
- 40
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4397289995
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4397289995Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1016/j.asej.2024.102852Digital Object Identifier
- Title
-
Assessment of artificial neural networks in different sectors by employing the notion of bipolar fuzzy Schweizer-Sklar power aggregation operatorsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-05-19Full publication date if available
- Authors
-
Tahir Mahmood, Jabbar Ahmmad, Ubaid ur Rehman, Muhammad AslamList of authors in order
- Landing page
-
https://doi.org/10.1016/j.asej.2024.102852Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1016/j.asej.2024.102852Direct OA link when available
- Concepts
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Fuzzy logic, Artificial neural network, Norm (philosophy), Work (physics), Computer science, Power (physics), Artificial intelligence, Mathematical economics, Mathematics, Engineering, Law, Political science, Mechanical engineering, Physics, Quantum mechanicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
6Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 5, 2024: 1Per-year citation counts (last 5 years)
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40Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| referenced_works | https://openalex.org/W4211007335, https://openalex.org/W380795639, https://openalex.org/W2106607855, https://openalex.org/W2084876223, https://openalex.org/W1976611654, https://openalex.org/W2101393539, https://openalex.org/W1980564456, https://openalex.org/W2024875454, https://openalex.org/W2809020038, https://openalex.org/W3133268304, https://openalex.org/W2919378363, https://openalex.org/W1982618675, https://openalex.org/W1980748255, https://openalex.org/W2935945680, https://openalex.org/W4296050352, https://openalex.org/W6750423631, https://openalex.org/W2794427369, https://openalex.org/W2514754342, https://openalex.org/W3101926555, https://openalex.org/W2587083986, https://openalex.org/W2899115505, https://openalex.org/W2991299870, https://openalex.org/W2995844073, https://openalex.org/W6792690403, https://openalex.org/W2896010100, https://openalex.org/W2664295321, https://openalex.org/W3200665410, https://openalex.org/W2808949000, https://openalex.org/W6788578591, https://openalex.org/W3093484412, https://openalex.org/W4205195829, https://openalex.org/W4213280827, https://openalex.org/W4291001093, https://openalex.org/W2970463093, https://openalex.org/W2043619358, https://openalex.org/W2767014154, https://openalex.org/W3028956410, https://openalex.org/W3119821147, https://openalex.org/W2796572160, https://openalex.org/W3138843968 |
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