Sürdürülebilir Kalkınma Amaçları
Yayınlar
- BildiriYalnız künye2025A Novel BPA Derivation Method Using Linguistic Fuzzy Sets in Dempster-Shafer Theory
Başkan, Elif; Şahin, Rıdvan; Kahraman, C.; Oztaysi, B.; Cebi, S.; Cevik Onar, S.; Tolga, C.; Ucal Sari, I.; Otay, I.
In this study, we present a new method for developing Basic Probability Assignment (BPA) using Linguistic Fuzzy Sets (LFS). Dempster-Shafer Theory (DST) is used to efficiently combine different data sources. The use of LFS provides a robust structure for managing uncertainty in decision making by representing knowledge in linguistic terms. However, effectively integrating multiple uncertain sources requires a strong probabilistic approach. To overcome this challenge, we propose a method to derive BPA values directly from linguistic terms, ensuring compatibility with the DST fusion rule. We then use the Dempster-Shafer combination rule to combine information from various sources, thereby improving the reliability of the decision-making process.
- BildiriAçık Erişim2024Extension of TODIM Method Based on Distance Measures of Decomposed Fuzzy Sets
Köseoğlu, Ali; Şahin, Rıdvan; Kahraman, C.; Cevik Onar, S.; Cebi, S.; Oztaysi, B.; Ucal Sari, I.; Tolga, A.C.
Fuzzy sets allow elements to have partial membership in a set, represented by a membership value between 0 and 1. This feature enables fuzzy sets to model imprecise or vague concepts. Decomposed fuzzy sets, an extension of fuzzy sets, have introduced a novel perspective in the literature by incorporating the Kano model into risk assessment. These sets have also paved the way for new approaches in decision-making methods, highlighting their functional and dysfunctional elements. In this paper, we propose a distance measure for decomposed fuzzy sets and subsequently extend the TODIM method based on this distance measure to DFSs. Then, we provide a numerical example to illustrate its effectiveness and practicality.
- BildiriYalnız künye2020Evaluation of home health care vehicle routing methods by intuitionistic fuzzy AHP
Peker, Iskender; Caybasi, Gokhan; Buyukozkan, Gulcin; Gocer, Fethullah; Kahraman, C.; Cevik Onar, S.; Oztaysi, B.; Sari, I.U.; Cebi, S.; Tolga, A.C.
In our country, Home Health Care (HHC) units support people who are fully bed-dependent in order to provide health services at the right time, place and conditions. Vehicle Routing Problem (VRP) is used for cost, speed and distance optimization in delivering products or services to customers. In addition, there will be improvements in HHC and it will also save on transportation, storage and labor costs by determining the most appropriate VRP’s solution methods. In this respect, the aim of this study is to determine the best VRP’s solution method which can increase the efficiency of HHC. The proposed approach is based on Intuitionistic Fuzzy Analytic Hierarchy Process (IF-AHP) method which is a strong technique for dealing with uncertainties. According to results, the most important criteria is “time based factors”. Meta-heuristic is the appropriate solution algorithms for VRP in HHC.