Integration interval type-2 FAHP-FTOPSIS group decision-making problems for salt farmer recommendation

Yeni Kustiyahningsih, Eza Rahmanita, Purbandini -, Aeri Rachmad, Jaka Purnama

Abstract


The Covid-19 pandemic has caused the development of the marine economy, especially the salt business of Madurese Indonesian people, to experience a decline. Some government programs are marketplace training, providing people's credit assistance, providing appropriate technical assistance such as geomembranes, and online marketing. There are difficulties in running and implementing government programs, so a decision-making system is needed for mapping salt farmers. The purpose is construct a multi-criteria group decision-making model by performing a hybrid interval type 2 FAHP and FTOPSIS method for mapping salt farmers with interval Triangular Fuzzy Number (TFN). The contribution is to determine recommendations based on TFN with the same middle point and group support system. Interval type-2 FAHP is used to determine the most influential indicator on salt farmer mapping, Interval type-2 TOPSIS is used to determine salt farmer recommendations. Fuzzy type-2 provides more accurate modeling, better rating value performance, and high flexibility. The findings of this study are indicators that most influence recommendation of salt farmers are marketing models, production yields, and profit. The results of the recommendations stated that 45% received good recommendations, 35% entered into moderate recommendations and 20 % entered into bad recommendations.

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Published: 2021-12-07

How to Cite this Article:

Yeni Kustiyahningsih, Eza Rahmanita, Purbandini -, Aeri Rachmad, Jaka Purnama, Integration interval type-2 FAHP-FTOPSIS group decision-making problems for salt farmer recommendation, Commun. Math. Biol. Neurosci., 2021 (2021), Article ID 92

Copyright © 2021 Yeni Kustiyahningsih, Eza Rahmanita, Purbandini -, Aeri Rachmad, Jaka Purnama. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Commun. Math. Biol. Neurosci.

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