Soft modeling
| dc.authorscopusid | Tofigh Allahviranloo / 8834494700 | |
| dc.authorwosid | Tofigh Allahviranloo / V-4843-2019 | |
| dc.contributor.author | Babakordi, Fatemeh | |
| dc.contributor.author | Taghi-Nezhad, Nemat Allah | |
| dc.contributor.author | Allahviranloo, Tofigh | |
| dc.date.accessioned | 2025-04-18T09:33:12Z | |
| dc.date.available | 2025-04-18T09:33:12Z | |
| dc.date.issued | 2024 | |
| dc.department | İstinye Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Yazılım Mühendisliği Bölümü | |
| dc.description.abstract | In this chapter of the book, we examine five practical and real-world models in the fuzzy environment. First, we discuss the fuzzy solution for the cancer tumor model under generalized Hukuhara-Caputo partial derivability using the fuzzy integral transformation. Then, the fuzzy classification system, which is used as a decision support tool for biologists in identifying dendritic cells, was investigated in the fuzzy environment. In the following, the quantitative model of economic production with decline under Marxist economics is expressed in the method of social political economy. The study of the model in a fuzzy environment is inevitable to fit the model to the real problem as much as possible. Another model that has been studied and is very efficient in the fuzzy environment is the market equilibrium value model. Finally, we explain the inventory model with the learning effect and the business credit strategy in the fuzzy environment for the buyer. | |
| dc.identifier.citation | Babakordi, F., Taghi-Nezhad, N. A., & Allahviranloo, T. (2024). Soft modeling. In Decision-Making Models (pp. 417-452). Academic Press. | |
| dc.identifier.doi | 10.1016/B978-0-443-16147-6.00029-3 | |
| dc.identifier.endpage | 452 | |
| dc.identifier.isbn | 978-044316147-6 | |
| dc.identifier.isbn | 978-044316148-3 | |
| dc.identifier.scopus | 2-s2.0-85202825032 | |
| dc.identifier.startpage | 417 | |
| dc.identifier.uri | http://dx.doi.org/10.1016/B978-0-443-16147-6.00029-3 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12713/6821 | |
| dc.indekslendigikaynak | Scopus | |
| dc.institutionauthor | Allahviranloo, Tofigh | |
| dc.institutionauthorid | Tofigh Allahviranloo / 0000-0002-6673-3560 | |
| dc.language.iso | en | |
| dc.publisher | Elsevier | |
| dc.relation.ispartof | Decision-making models: a perspective of fuzzy logic and machine learning | |
| dc.relation.publicationcategory | Kitap Bölümü - Uluslararası | |
| dc.rights | info:eu-repo/semantics/closedAccess | |
| dc.subject | Cancer Tumor Model | |
| dc.subject | Caputo-Generalized Hukuhara Derivative | |
| dc.subject | Fuzzy Production-Inventory Model | |
| dc.subject | Market Equilibrium Value | |
| dc.subject | Marxian Economics | |
| dc.title | Soft modeling | |
| dc.type | Book Chapter |
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