Generalized Fuzzy Soft Expert Set
In 2011 Alkhazaleh and Salleh defined the concept of soft expert sets where the user can know the opinion of all the experts in one model and give an application of this concept in decision-making problems. Also, they introduced the concept of the fuzzy soft expert set as a combination between the s...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2012-01-01
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| Series: | Journal of Applied Mathematics |
| Online Access: | http://dx.doi.org/10.1155/2012/328195 |
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| _version_ | 1849407554886565888 |
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| author | Ayman A. Hazaymeh Ismail B. Abdullah Zaid T. Balkhi Rose I. Ibrahim |
| author_facet | Ayman A. Hazaymeh Ismail B. Abdullah Zaid T. Balkhi Rose I. Ibrahim |
| author_sort | Ayman A. Hazaymeh |
| collection | DOAJ |
| description | In 2011 Alkhazaleh and Salleh defined the concept of soft expert sets
where the user can know the opinion of all the experts in one model and give an
application of this concept in decision-making problems. Also, they introduced
the concept of the fuzzy soft expert set as a combination between the soft expert
set and the fuzzy set. In 2010 Majumdar and Samanta presented the concept of
a generalized fuzzy soft sets. The purpose of this paper is to combine the work
of Alkhazaleh and Salleh (2011) and Majumdar and Samanta (2010), from which
we can obtain a new concept: generalized fuzzy soft expert sets (GFSESs). We
also introduce its operations, namely, complement, union intersection, “AND” and
“OR”, and study their properties. The generalized fuzzy soft expert sets are used
to analyze a decision-making problem. Also in our model the user can know the
opinion of all experts in one model. In this work we also introduce the concept
of a generalized fuzzy soft expert sets with multiopinions (four opinions), which
will be more effective and useful. Finally, we give an application of this concept in
decision-making problem. |
| format | Article |
| id | doaj-art-42b2d69fca954f1396fa85178d31a161 |
| institution | Kabale University |
| issn | 1110-757X 1687-0042 |
| language | English |
| publishDate | 2012-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Applied Mathematics |
| spelling | doaj-art-42b2d69fca954f1396fa85178d31a1612025-08-20T03:36:02ZengWileyJournal of Applied Mathematics1110-757X1687-00422012-01-01201210.1155/2012/328195328195Generalized Fuzzy Soft Expert SetAyman A. Hazaymeh0Ismail B. Abdullah1Zaid T. Balkhi2Rose I. Ibrahim3Faculty of Science and Technology, Universiti Sains Islam Malaysia, Bandar Baru Nilai, Negeri Sembilan, 71800 Nilai, MalaysiaFaculty of Science and Technology, Universiti Sains Islam Malaysia, Bandar Baru Nilai, Negeri Sembilan, 71800 Nilai, MalaysiaFaculty of Science and Technology, Universiti Sains Islam Malaysia, Bandar Baru Nilai, Negeri Sembilan, 71800 Nilai, MalaysiaFaculty of Science and Technology, Universiti Sains Islam Malaysia, Bandar Baru Nilai, Negeri Sembilan, 71800 Nilai, MalaysiaIn 2011 Alkhazaleh and Salleh defined the concept of soft expert sets where the user can know the opinion of all the experts in one model and give an application of this concept in decision-making problems. Also, they introduced the concept of the fuzzy soft expert set as a combination between the soft expert set and the fuzzy set. In 2010 Majumdar and Samanta presented the concept of a generalized fuzzy soft sets. The purpose of this paper is to combine the work of Alkhazaleh and Salleh (2011) and Majumdar and Samanta (2010), from which we can obtain a new concept: generalized fuzzy soft expert sets (GFSESs). We also introduce its operations, namely, complement, union intersection, “AND” and “OR”, and study their properties. The generalized fuzzy soft expert sets are used to analyze a decision-making problem. Also in our model the user can know the opinion of all experts in one model. In this work we also introduce the concept of a generalized fuzzy soft expert sets with multiopinions (four opinions), which will be more effective and useful. Finally, we give an application of this concept in decision-making problem.http://dx.doi.org/10.1155/2012/328195 |
| spellingShingle | Ayman A. Hazaymeh Ismail B. Abdullah Zaid T. Balkhi Rose I. Ibrahim Generalized Fuzzy Soft Expert Set Journal of Applied Mathematics |
| title | Generalized Fuzzy Soft Expert Set |
| title_full | Generalized Fuzzy Soft Expert Set |
| title_fullStr | Generalized Fuzzy Soft Expert Set |
| title_full_unstemmed | Generalized Fuzzy Soft Expert Set |
| title_short | Generalized Fuzzy Soft Expert Set |
| title_sort | generalized fuzzy soft expert set |
| url | http://dx.doi.org/10.1155/2012/328195 |
| work_keys_str_mv | AT aymanahazaymeh generalizedfuzzysoftexpertset AT ismailbabdullah generalizedfuzzysoftexpertset AT zaidtbalkhi generalizedfuzzysoftexpertset AT roseiibrahim generalizedfuzzysoftexpertset |