Title: A study on decision support system based on the fuzzy logic approach for the livestock service management

Authors: Saraswathi Sivamani; Hong-Geun Kim; Jangwoo Park; Yongyun Cho

Addresses: Department of Information and Communication Engineering, Sunchon National University, Suncheon, 57922, Korea ' Department of Information and Communication Engineering, Sunchon National University, Suncheon, 57922, Korea ' Department of Information and Communication Engineering, Sunchon National University, Suncheon, 57922, Korea ' Department of Information and Communication Engineering, Sunchon National University, Suncheon, 57922, Korea

Abstract: In this paper, we propose a fuzzy logic approach for the decision-making system of context-based livestock control system. The fuzzy logic technique is identical to human reasoning with intermediate logical variables. So in the decision-making system, the accuracy in the selection of the control system is increased by minimising the rate of loss. To increase the productivity of the livestock, the diet and health management are the notable factors. For this, two variable age and weight are chosen as the main factor in decision-making system to identify the possibility of control management. With the age and weight as input variables, the output variables are categorised as 'Maintain Diet', 'Change Diet Schedule', 'Need Health Checkup' and 'Ready for Sale'. The evaluation was done with the MATLAB fuzzy logic toolbox.

Keywords: fuzzy logic; decision support systems; DSS; livestock service management; context awareness; IoT; internet of things; livestock services; livestock control; diet management; health management; age; weight; livestock management.

DOI: 10.1504/IJSTM.2017.081878

International Journal of Services Technology and Management, 2017 Vol.23 No.1/2, pp.83 - 100

Received: 02 Apr 2015
Accepted: 31 Mar 2016

Published online: 24 Jan 2017 *

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