A study on fuzzy cognitive maps using fuzzy inference system
Fuzzy Mathematics theory has been studied extensively in this study. Most early interest in fuzzy set theory pertained to representing uncertainty in human cognitive processes. Fuzziness can be found in many areas of daily life, such as engineering, business, medical and related health sciences, and...
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REA Press
2024-12-01
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| Series: | Big Data and Computing Visions |
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| Online Access: | https://www.bidacv.com/article_207358_89f13cd94225f945f0fb5cbd306688db.pdf |
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| author | Appasamy Saraswathi Seyyed Edalatpanah Sanaz Hami Hassan Kiyadeh |
| author_facet | Appasamy Saraswathi Seyyed Edalatpanah Sanaz Hami Hassan Kiyadeh |
| author_sort | Appasamy Saraswathi |
| collection | DOAJ |
| description | Fuzzy Mathematics theory has been studied extensively in this study. Most early interest in fuzzy set theory pertained to representing uncertainty in human cognitive processes. Fuzziness can be found in many areas of daily life, such as engineering, business, medical and related health sciences, and the natural sciences. It is particularly frequent, however, in all areas in which human judgment, evaluation and decisions are important. However, in many real-life cases, the decision data of human judgments with preferences are often vague, so the traditional ways of using crisp values are inadequate. Due to a lack of information, the future state of the real system might not be known completely. Fuzzy mathematical modelling represents a real-world problem in a mathematical form to find solutions to the problem that correspond closely to how humans perceive it. Also, fuzzy modelling increases the validity of ill-structured systems by offering a deeper understanding of the complexities of decision parameters. In this paper, we analyze the problem of the transgender using FCMs and Combined Fuzzy Cognitive Maps (CFCM). This paper is divided into five sections. Section one introduces the basic introduction of transgender and the previous research of Fuzzy Cognitive Maps (FCM) and Combined FCM. Section two introduces FCM and combined FCM and the basic operations. Section three shows the basic definitions of FCM and Combined CFCM. The fourth section provides methods to analyze transgender problems using combined FCM. The final section gives the conclusions and some suggestions based on our study. |
| format | Article |
| id | doaj-art-c0cef4536f904fdfad2fe70266b1582c |
| institution | Kabale University |
| issn | 2783-4956 2821-014X |
| language | English |
| publishDate | 2024-12-01 |
| publisher | REA Press |
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| series | Big Data and Computing Visions |
| spelling | doaj-art-c0cef4536f904fdfad2fe70266b1582c2025-01-30T12:23:43ZengREA PressBig Data and Computing Visions2783-49562821-014X2024-12-014425727110.22105/bdcv.2024.482326.1212207358A study on fuzzy cognitive maps using fuzzy inference systemAppasamy Saraswathi0Seyyed Edalatpanah1Sanaz Hami Hassan Kiyadeh2Department of Mathematics, SRM Institute of Science and Technology, Kattankulathur – 603 203, Tamilnadu, India.Department of Mathematics, Ayandegan Institute of Higher Education, Tonekabon, Iran.Department of Mathematics, The University of Alabama, Alabama, USA.Fuzzy Mathematics theory has been studied extensively in this study. Most early interest in fuzzy set theory pertained to representing uncertainty in human cognitive processes. Fuzziness can be found in many areas of daily life, such as engineering, business, medical and related health sciences, and the natural sciences. It is particularly frequent, however, in all areas in which human judgment, evaluation and decisions are important. However, in many real-life cases, the decision data of human judgments with preferences are often vague, so the traditional ways of using crisp values are inadequate. Due to a lack of information, the future state of the real system might not be known completely. Fuzzy mathematical modelling represents a real-world problem in a mathematical form to find solutions to the problem that correspond closely to how humans perceive it. Also, fuzzy modelling increases the validity of ill-structured systems by offering a deeper understanding of the complexities of decision parameters. In this paper, we analyze the problem of the transgender using FCMs and Combined Fuzzy Cognitive Maps (CFCM). This paper is divided into five sections. Section one introduces the basic introduction of transgender and the previous research of Fuzzy Cognitive Maps (FCM) and Combined FCM. Section two introduces FCM and combined FCM and the basic operations. Section three shows the basic definitions of FCM and Combined CFCM. The fourth section provides methods to analyze transgender problems using combined FCM. The final section gives the conclusions and some suggestions based on our study.https://www.bidacv.com/article_207358_89f13cd94225f945f0fb5cbd306688db.pdfunsupervised transgenderfuzzy setsfuzzy cognitive mapshidden patterns |
| spellingShingle | Appasamy Saraswathi Seyyed Edalatpanah Sanaz Hami Hassan Kiyadeh A study on fuzzy cognitive maps using fuzzy inference system Big Data and Computing Visions unsupervised transgender fuzzy sets fuzzy cognitive maps hidden patterns |
| title | A study on fuzzy cognitive maps using fuzzy inference system |
| title_full | A study on fuzzy cognitive maps using fuzzy inference system |
| title_fullStr | A study on fuzzy cognitive maps using fuzzy inference system |
| title_full_unstemmed | A study on fuzzy cognitive maps using fuzzy inference system |
| title_short | A study on fuzzy cognitive maps using fuzzy inference system |
| title_sort | study on fuzzy cognitive maps using fuzzy inference system |
| topic | unsupervised transgender fuzzy sets fuzzy cognitive maps hidden patterns |
| url | https://www.bidacv.com/article_207358_89f13cd94225f945f0fb5cbd306688db.pdf |
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