Research Article Fuzzy Multicriteria Decision-Making for Ranking Intercrop in Rubber Plantations under Social, Economic, and Environmental Criteria JitsupaMuangman, 1 KittipongKrootsong, 1 PhattamonPolrong, 1 WeeraYukunthorn , 2 and Weerawat Udomsap 3 1 Faculty of Management Sciences, Phuket Rajabhat University, Phuket 83000, ailand 2 Faculty of Science and Technology, Kanchanaburi Rajabhat University, Kanchanaburi 71190, ailand 3 Faculty of Humanities and Social Sciences, Kanchanaburi Rajabhat University, Kanchanaburi 71190, ailand Correspondence should be addressed to Weera Yukunthorn; w.yukunthorn@kru.ac.th Received 10 December 2019; Accepted 16 April 2020; Published 8 May 2020 Academic Editor: Zeki Ayag Copyright © 2020 Jitsupa Muangman et al. is 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. Rubber price instability causes great economic problems for rubber plantation in ailand. Intercropping is an alternative way for rubber farmers in problem-solving. In this paper, we established decision-making system for plant selection in rubber fields under social, economic, and environment criteria with the use of fuzzy multicriteria decision-making (FMCDM) to rank plant options. Firstly, we modified the traditional FMCDM by defuzzification with norm centroid and developed the fuzzifier maps the norm centroid to triangular fuzzy number (TFN). According to fuzzification, the final rating evaluation of plant options are determined by total utility values. Finally, ranking of the plant options is obtained. Our modifications provided an alternative decision-making process with softer computational capability compared with the traditional method. In addition to soft computing, data visualization and analysis of the possibility in each factors could be investigated. is decision-making system was implemented in Phang-Nga Province, ailand. Its outputs assisted the rubber farmer in selecting suitable plants for cultivation. Pros and cons of each plant options and area-based approaches were easily seen by data visualizations. is decision-making system provided beneficial information which support precision developments for rubber farmer and government agencies. 1.Introduction Rubber is one of the major crops cultivated in south of ailand, and this is region possessed the largest area of rubber plantation [1]. Recently, fluctuation of rubber price affects farmer’s livelihoods. Intercropping of rubber tree plantations has been a strategy for earning higher incomes from the rubber crop [2]. e challenge of rubber intercropping in the 21 st century is analysed considering not only physical environ- ments but also socioeconomic and environments. So, plant selection under suitable area-based plantation conditions will be sustainable for rubber farming [3]. e suitable plantation conditions could be deter- mined by several criteria under social, economic, and environmental factors. MCDM is a mathematical tool with capability in importing both of qualitative and quantitative data. In addition, it is a powerful method for solving the complex decision problems. Applications of MCDM could be found in various fields such as business and manage- ment, economics, education, and agriculture [4–7]. Pre- viously, MCDM had been applied on selecting intercrops in the rubber field under geographic criteria and economic criteria in Phitsanulok province, ailand. ey compared the use of analytical hierarchy process (AHP), the Hindawi Advances in Fuzzy Systems Volume 2020, Article ID 6508590, 8 pages https://doi.org/10.1155/2020/6508590