A Hybrid MAGDM Approach of Neutrosophic TOPSIS - LINMAP method for developing Enterprise Selection Criteria
Multi-attribute group decision-making (MAGDM) problems have traditionally been addressed using approaches like the standard LINMAP and TOPSIS. However, existing studies utilizing these methods often face challenges in handling uncertain, vague, and incomplete data, especially when working with fuzzy...
Uloženo v:
| Vydáno v: | Neutrosophic sets and systems Ročník 85; s. 829 - 851 |
|---|---|
| Hlavní autoři: | , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Neutrosophic Sets and Systems
01.10.2025
University of New Mexico |
| Témata: | |
| ISSN: | 2331-6055, 2331-608X |
| On-line přístup: | Získat plný text |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|
| Abstract | Multi-attribute group decision-making (MAGDM) problems have traditionally been addressed using approaches like the standard LINMAP and TOPSIS. However, existing studies utilizing these methods often face challenges in handling uncertain, vague, and incomplete data, especially when working with fuzzy or intuitionistic environments. Additionally, traditional methods have limitations in modeling and computing with more complex, nuanced information such as neutrosophic numbers, which are better suited for capturing the indeterminacy inherent in real-world decision-making problems. In this research, we provide a novel approach to handle MAGDM problems under a SVTN number framework, extending the classic LINMAP approach to the neutrosophic context. The new method overcomes the shortcomings of existing techniques by providing a more robust decision-making model that incorporates neutrosophic uncertainty. Furthermore, we propose an integrated approach combining neutrosophic LINMAP with TOPSIS, offering a comprehensive solution to MAGDM problems that is more adaptable to practical enterprise selection scenarios. This method is intended to increase decision-making accuracy and dependability when faced with ambiguous and insufficient information. The usefulness of the suggested technique is illustrated by a real-world example that shows how the integrated neutrosophic LINMAP-TOPSIS strategy may be used for enterprise selection and produces better outcomes than standard techniques. Keywords: Single valued trapezoidal neutrosophic number; decision making; Neutrosophic Linear programming technique for multidimensional analysis of preference; Hamming distance;Relative closeness coefficient; Consistency and inconsistency measurements; Borda's scores |
|---|---|
| AbstractList | Multi-attribute group decision-making (MAGDM) problems have traditionally been addressed using approaches like the standard LINMAP and TOPSIS. However, existing studies utilizing these methods often face challenges in handling uncertain, vague, and incomplete data, especially when working with fuzzy or intuitionistic environments. Additionally, traditional methods have limitations in modeling and computing with more complex, nuanced information such as neutrosophic numbers, which are better suited for capturing the indeterminacy inherent in real-world decision-making problems. In this research, we provide a novel approach to handle MAGDM problems under a SVTN number framework, extending the classic LINMAP approach to the neutrosophic context. The new method overcomes the shortcomings of existing techniques by providing a more robust decision-making model that incorporates neutrosophic uncertainty. Furthermore, we propose an integrated approach combining neutrosophic LINMAP with TOPSIS, offering a comprehensive solution to MAGDM problems that is more adaptable to practical enterprise selection scenarios. This method is intended to increase decision-making accuracy and dependability when faced with ambiguous and insufficient information. The usefulness of the suggested technique is illustrated by a real-world example that shows how the integrated neutrosophic LINMAP-TOPSIS strategy may be used for enterprise selection and produces better outcomes than standard techniques. Keywords: Single valued trapezoidal neutrosophic number; decision making; Neutrosophic Linear programming technique for multidimensional analysis of preference; Hamming distance;Relative closeness coefficient; Consistency and inconsistency measurements; Borda's scores `Multi-attribute group decision-making (MAGDM) problems have traditionally been addressed using approaches like the standard LINMAP and TOPSIS. However, existing studies utilizing these methods often face challenges in handling uncertain, vague, and incomplete data, especially when working with fuzzy or intuitionistic environments. Additionally, traditional methods have limitations in modeling and computing with more complex, nuanced information such as neutrosophic numbers, which are better suited for capturing the indeterminacy inherent in real-world decision-making problems. In this research, we provide a novel approach to handle MAGDM problems under a SVTN number framework, extending the classic LINMAP approach to the neutrosophic context. The new method overcomes the shortcomings of existing techniques by providing a more robust decision-making model that incorporates neutrosophic uncertainty. Furthermore, we propose an integrated approach combining neutrosophic LINMAP with TOPSIS, offering a comprehensive solution to MAGDM problems that is more adaptable to practical enterprise selection scenarios. This method is intended to increase decision-making accuracy and dependability when faced with ambiguous and insufficient information. The usefulness of the suggested technique is illustrated by a real-world example that shows how the integrated neutrosophic LINMAP-TOPSIS strategy may be used for enterprise selection and produces better outcomes than standard techniques. |
| Audience | Academic |
| Author | Paulraj, S Sivanandha Saraswathy, M Thanuja, T.S Tamilarasi, G |
| Author_xml | – sequence: 1 fullname: Tamilarasi, G – sequence: 2 fullname: Paulraj, S – sequence: 3 fullname: Sivanandha Saraswathy, M – sequence: 4 fullname: Thanuja, T.S |
| BookMark | eNo9kVFr2zAQgEXpoF3a577qDziTLMmWH02WpYGkLaSDvhlJd0rUJZaRvUL66yvWUe7h7j6OjzvuO7nsY4-E3HE2V6XmP96xjxDnXAnNmlpfkOtSCF5UTL9cftVKXZHbcXxljPGSN0rwa_KnpfdnmwLQbbv6uaXtMKRo3IFGTx_w75TiGIdDcPT58Wm33tGCbtYP2_aJnnA6RKA-Jgr4hsc4hH5Pl_2EaUhhRLrDI7opxJ4uUsg0mBvyzZvjiLf_84z8_rV8XtwXm8fVetFuCuB1PRVVDR4cqyvRcCiNyfdYAblDZYVpNNfgndKaW-k1A5DeKrSNkxK0bxDFjKw_vRDNa5e3OZl07qIJ3T8Q074zaQruiF1twThmTKUtkzU6a7VudCm9A9RS-eyaf7r2Jo-H3scpGZcD8BRcfoIPmbdailKqsuLiA9A4euE |
| ContentType | Journal Article |
| Copyright | COPYRIGHT 2025 Neutrosophic Sets and Systems |
| Copyright_xml | – notice: COPYRIGHT 2025 Neutrosophic Sets and Systems |
| DBID | DOA |
| DOI | 10.5281/zenodo.15380978 |
| DatabaseName | DOAJ Directory of Open Access Journals |
| DatabaseTitleList | |
| Database_xml | – sequence: 1 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Philosophy |
| EISSN | 2331-608X |
| EndPage | 851 |
| ExternalDocumentID | oai_doaj_org_article_7bdac0aa68b047ecbb889824fcde845f A843245261 |
| GroupedDBID | 5VS ABDBF ACUHS ADBBV ALMA_UNASSIGNED_HOLDINGS AMVHM BAIFH BBTPI BCNDV ESX FAEIB GROUPED_DOAJ IAO ITC KQ8 OK1 PV9 RZL |
| ID | FETCH-LOGICAL-d177t-67dfdc076391d2aa978b3d639e5b3a9818dfc5881b4f80dd4fb5eb9c44d8f9ee3 |
| IEDL.DBID | DOA |
| ISSN | 2331-6055 |
| IngestDate | Fri Oct 03 12:46:01 EDT 2025 Tue Nov 04 18:10:23 EST 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Language | English |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-d177t-67dfdc076391d2aa978b3d639e5b3a9818dfc5881b4f80dd4fb5eb9c44d8f9ee3 |
| OpenAccessLink | https://doaj.org/article/7bdac0aa68b047ecbb889824fcde845f |
| PageCount | 23 |
| ParticipantIDs | doaj_primary_oai_doaj_org_article_7bdac0aa68b047ecbb889824fcde845f gale_infotracacademiconefile_A843245261 |
| PublicationCentury | 2000 |
| PublicationDate | 20251001 |
| PublicationDateYYYYMMDD | 2025-10-01 |
| PublicationDate_xml | – month: 10 year: 2025 text: 20251001 day: 01 |
| PublicationDecade | 2020 |
| PublicationTitle | Neutrosophic sets and systems |
| PublicationYear | 2025 |
| Publisher | Neutrosophic Sets and Systems University of New Mexico |
| Publisher_xml | – name: Neutrosophic Sets and Systems – name: University of New Mexico |
| RelatedPersons | Smarandache, Florentin |
| RelatedPersons_xml | – fullname: Smarandache, Florentin |
| SSID | ssj0001219531 |
| Score | 2.3049867 |
| Snippet | Multi-attribute group decision-making (MAGDM) problems have traditionally been addressed using approaches like the standard LINMAP and TOPSIS. However,... `Multi-attribute group decision-making (MAGDM) problems have traditionally been addressed using approaches like the standard LINMAP and TOPSIS. However,... |
| SourceID | doaj gale |
| SourceType | Open Website Aggregation Database |
| StartPage | 829 |
| SubjectTerms | borda’s scores consistency and inconsistency measurements Decision-making hamming distance Methods neutrosophic linear programming technique for multidimensional analysis of preference relative closeness coefficient single valued trapezoidal neutrosophic number Smarandache, Florentin |
| Title | A Hybrid MAGDM Approach of Neutrosophic TOPSIS - LINMAP method for developing Enterprise Selection Criteria |
| URI | https://doaj.org/article/7bdac0aa68b047ecbb889824fcde845f |
| Volume | 85 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVAON databaseName: DOAJ Directory of Open Access Journals customDbUrl: eissn: 2331-608X dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0001219531 issn: 2331-6055 databaseCode: DOA dateStart: 20130101 isFulltext: true titleUrlDefault: https://www.doaj.org/ providerName: Directory of Open Access Journals |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1LS8NAEF5EPPQiPrG-2IPgKTaP3ezsMWprC7YWWqG3sE_opZU2Feqvd3cTsTcvHhMC2czsvLIz34fQHbc545SISLngFBGgzqQ46MiHAuC5kCIXgWyCjUYwm_HxDtWX7wmr4YFrwXWY1ELFQuQgY8KMkhKAQ0qs0gYItd77xozvFFP13xV_PJQEZrksiVzOTmtcH5pC0vkyC1fzPXhjjwPBWoDrb5zyTnjpHaHDJi_ERb2eY7RnFieoNf4hGtieonmB-1s_X4WHxcvzEBcNGjheWjwym2oVHpwrPH0bTwYT_DoYDYsxrimisctN8e-AFO7WvYbztcGTwITj1IM97YHfkGfovdedPvWjhigh0gljVZQzbbWKnavgiU6FcN8kM-2uDJWZ4C4ma6souAyVWIi1JlZSI7kiRIPlxmTnaH-xXJgLhEHqmJk8B5VxoowGJZURXAK1VEKcttGjl1X5UWNhlB6dOtxwOisbnZV_6ayN7r2kS29D1Uoo0YwCuCV4NKqyAI8TSF1xd_kfr7tCrdSz9oYWvGu0X6025gYdqM9qvl7dho3zDRm7ycQ |
| linkProvider | Directory of Open Access Journals |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=A+Hybrid+MAGDM+Approach+of+Neutrosophic+TOPSIS+-+LINMAP+method+for+developing+Enterprise+Selection+Criteria&rft.jtitle=Neutrosophic+sets+and+systems&rft.au=Tamilarasi%2C+G&rft.au=Paulraj%2C+S&rft.au=Sivanandha+Saraswathy%2C+M&rft.au=Thanuja%2C+T.S&rft.date=2025-10-01&rft.pub=Neutrosophic+Sets+and+Systems&rft.issn=2331-6055&rft.volume=85&rft.spage=829&rft_id=info:doi/10.5281%2Fzenodo.15380978&rft.externalDocID=A843245261 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2331-6055&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2331-6055&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2331-6055&client=summon |