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All Journal International Journal of Electrical and Computer Engineering Bulletin of Electrical Engineering and Informatics JTAM (Jurnal Teori dan Aplikasi Matematika) Jurnal Surya Masyarakat Indonesian Journal of Electrical Engineering and Computer Science Jurnal Surya Masyarakat Journal of Soft Computing Exploration Jurnal Komputer dan Teknologi Informasi
Muhammad Sam'an
Department of Informatics, Universitas Muhammadiyah Semarang
Religion Humanities Computer Science & IT Electrical & Electronics Engineering Engineering Environmental Science Mathematics Public Health Other

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Journal : journal of soft computing exploration

 1 
A combination of TDM and KSAM to determine initial feasible solution of transportation problems Muhammad Sam'an; Ifriza, Yahya Nur
Journal of Soft Computing Exploration Vol. 2 No. 1 (2021): March 2021
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joscex.v2i1.16

Abstract

In case of the Transportation Problem (TP), it was found that TP had equal the smallest so that the existing methods will be generated two or more IFS values. The newly developed algorithm is generated through a combination of Total Difference Method (TDM) and Karagul-Sahin Approximation Method (KSAM) algorithm, is capable to determine the initial feasible solution of TP. Based on the numerical illustration of TP example to evaluate the performance of the new proposed algorithm. The computational performances have been compared to the existing methods (TDM1 and KSAM) and the results shown this algorithm achieved better performance than the existing methods for TP example.
Three stages algorithm for finding optimal solution of balanced triangular fuzzy transportation problems Muhammad Sam'an
Journal of Soft Computing Exploration Vol. 2 No. 1 (2021): March 2021
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joscex.v2i1.24

Abstract

In the literature, the fuzzy optimal solution of balanced triangular fuzzy transportation problem is negative fuzzy number. This is contrary to the constraints that must be non-negative. Therefore, the three stages algorithm is proposed to overcome this problem. The proposed algorithm consist of segregated method with segregating triangular fuzzy parameters into three crisp parameters. This method avoids the ranking technique. Next, total difference method is used to get initial basic feasible solution (IBFS) value based on segregating triangular fuzzy parameters. While, modified distribution algorithm is used to determine optimal solution based on IBFS velue. In order to illustrate the proposed algorithm is given the numerical example and based on the result comparison, the proposed algorithm equality to the two existing algorithms and better then the one existing algorithm. The proposed algorithm can solve in the fuzzy decision-making problems and can also be extended to an unbalanced fuzzy transportation problem.
Co-Authors A. Nafis Haikal A. Nafis Haikal Adinullhaq, Juyus Muhammad Ahmad Ilham Akhmad Fathurrohman Akhmad Fathurrohman Ardhani, Yevi Alviatul Arfido Ramadhani Ariyanto, Nova Asdani Kindarto Bayu Surarso Etna Vianita Etna Vianita Fahrezi, Andrian Febrianto Febrianto Febrianto Febrianto, Febrianto Hasbi Ardianto Pratama Ilham, Ahmad Imaddudin, Khrisna Ina Salamatul Mufaricha Irvan Nurmantoro Juyus Muhammad Adinulhaq Juyus Muhammad Adinullhaq Kindarto, Asdani Luqman Assaffat Luqman Assaffat Much Aziz Muslim Muhammad Munsarif Muhammad Sholeh Sarwono Nova Ariyanto Nurmantoro, Irvan Ramadhani, Arfido Redemtus Heru Tjahjana Safuan Safuan Safuan Safuan Safuan Safuan Safuan Safuan Safuan Safuan Samsudi Raharjo Sefrina Ainun Susilo Hariyanto Syafrie Abdunnasir Jawad Titi Udjiani Yahya Nur Ifriza Yevi Alviatul Ardhani Yosza Dasril