International Journal of Intelligent Systems and Applications(IJISA)
ISSN: 2074-904X (Print), ISSN: 2074-9058 (Online)
Published By: MECS Press
IJISA Vol.10, No.6, Jun. 2018
Fuzzy Logic using Tsukamoto Model and Sugeno Model on Prediction Cost
Full Text (PDF, 903KB), PP.13-21
This paper aims to implement Fuzzy Logic for cost prediction. Fuzzy Logic using Tsukamoto Model and Sugeno Model. Predicted costs consist of communication cost, transportation cost, and social cost as the external cost. The external cost is one component of living cost. High external cost becomes one of the causes of the high cost of living. The high cost of living is one of the factors causing high-cost economy. In this case, the cost prediction using Fuzzy Logic. Experimental results show that Fuzzy Logic using Tsukamoto Model with value is 1891. Fuzzy Logic using Sugeno Model with value 1621. Both models produce a feasible cost prediction. Feasible is meaning accurate and proper (value cost between low cost and high cost from all of cost). There are 46.56 % of the population of middle class in Indonesia. This means that 46.56% of the population of Indonesia has the potential to reduce the high cost economy. High cost economy (living cost) can be reduced, it can drive economic growth (social cost) and be able to improve social welfare (social cost).
Cite This Paper
Adriyendi, "Fuzzy Logic using Tsukamoto Model and Sugeno Model on Prediction Cost", International Journal of Intelligent Systems and Applications(IJISA), Vol.10, No.6, pp.13-21, 2018. DOI: 10.5815/ijisa.2018.06.02
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