TY - CONF N2 - Fuzzy logic is a way of many-valued computing logic that deals with the truth values of the variables between 0 and 1, unlike the conventional Boolean logic. Membership functions are used to depict the fuzzy values of given variable. Though membership functions are determined through expert's opinion, however, the one estimated through heuristic algorithms is the preferable methods. Membership functions determined through statistical and knowledge engineering methods are usually application dependent and cannot be applied on different datasets. This research focuses on generating the parametric values of the triangular membership function using a novel method. Initially, the Fuzzy C-means algorithm is utilized to generate the parameters values of the Gaussian membership function. Using a set of equations, these values then estimate the parameters of the triangular membership function. The proposed method is applied to the quality of web services data. From the results it is verified that the new approach of generating triangular membership functions can be adopted. © 2020 IEEE. N1 - cited By 12; Conference of 2020 International Conference on Computational Intelligence, ICCI 2020 ; Conference Date: 8 October 2020 Through 9 October 2020; Conference Code:164916 ID - scholars12646 TI - Fuzzy Type-1 Triangular Membership Function Approximation Using Fuzzy C-Means SP - 115 KW - Clustering algorithms; Copying; Fuzzy clustering; Fuzzy logic; Fuzzy systems; Heuristic algorithms; Heuristic methods; Intelligent computing; Web services KW - Boolean logic; Expert's opinion; Fuzzy C-means algorithms; Gaussian membership function; New approaches; Quality of web services; Research focus; Triangular membership functions KW - Membership functions AV - none A1 - Azam, M.H. A1 - Hasan, M.H. A1 - Hassan, S. A1 - Abdulkadir, S.J. UR - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097525535&doi=10.1109%2fICCI51257.2020.9247773&partnerID=40&md5=723d7f4007932f384a2e45d7b5f7b9bc EP - 120 Y1 - 2020/// PB - Institute of Electrical and Electronics Engineers Inc. SN - 9781728154473 ER -