Sturuktur Graf Fuzzy dan Aplikasinya pada Pengambilan Keputusan dalam Identifikasi Layanan Perjalanan

Authors

  • Ilma Nindita Ramadhani UIN Sunan Kalijaga
  • Arif Munandar UIN Sunan Kalijaga Yogyakarta

DOI:

https://doi.org/10.14421/fourier.2024.131.20-29

Keywords:

struktur graf fuzzy, semi strong min-product, pengambilan keputusan

Abstract

Struktur graf fuzzy adalah penggabungan dari struktur graf dan graf fuzzy. Penelitian ini membahas beberapa pengertian dan sifat dari struktur graf fuzzy diantaranya struktur graf fuzzy komplit dan kuat, struktur graf fuzzy terhubung, serta struktur graf fuzzy reguler. Lebih lanjut, dibentuk semi strong min-product dari dua struktur graf fuzzy dan beberapa teoremanya dari semi strong min-product yang dihasilkan. Selanjutnya disajikan aplikasi dari struktur graf fuzzy dalam pengambilan keputusan, yaitu pengambilan keputusan dalam identifikasi layanan perjalanan, yang didasarkan pada tarif harga dari masing-masing agen. Dengan menerapkan algoritma yang telah disusun disusun dapat ditentukan layanan perjalanan dari satu kota ke kota lain, berdasarkan harga tiket terendah.

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A fuzzy graph structure is an extension of graph structure and fuzzy graph. This research discusses several definitions and properties of the fuzzy graph structure including complete and strong fuzzy graph structure, connected fuzzy graph structure, and regular fuzzy graph structure. Furthermore, the semi strong min-product of two fuzzy graph structures can be formed, then some theorems are discussed for semi strong min-product. Furthermore, the application of the fuzzy graph structure in decision making is presented, specially decision making for the identification of travel services, which is based on the price rates of each agent. Through the algorithm, it is possible to determine the travel service from one city to another, based on the lowest ticket price.

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Published

2024-04-30

How to Cite

Ilma Nindita Ramadhani, & Munandar, A. (2024). Sturuktur Graf Fuzzy dan Aplikasinya pada Pengambilan Keputusan dalam Identifikasi Layanan Perjalanan. Jurnal Fourier, 13(1), 20–29. https://doi.org/10.14421/fourier.2024.131.20-29

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