Open AccessA Fuzzy TOPSIS with Affinity Weight for Big Data Projects: Managing Cloud Solution Problems
Author(s) -
Nurnadiah Zamri,
Wan Suryani,
Wan Suryani Wan Awang
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.b1078.0782s319
Subject(s) - cloud computing , vagueness , big data , schedule , computer science , set (abstract data type) , fuzzy set , fuzzy logic , data mining , mathematical optimization , operations research , mathematics , artificial intelligence , programming language , operating system
This study underlines a fuzzy decision making method for determining weights of criteria that constitute for solving cloud solution problems in managing big data projects. The weight determination of cloud for big data projects is crucial since many uncertain and vagueness criteria that need to be considered concurrently. Furthermore, these criteria involve network performance, schedule and traffic management of cloud solutions problem. In response to these challenges, the affinity set applies to Fuzzy TOPSIS (FTOPSIS) method to propose timedependent weights of three criteria for managing big data projects. A major advantage of the affinity weights is that it incorporates performance-traffic management relationships between all criteria. This affinity weight with FTOPSIS method helps to solve the cloud solution problems. This paper also includes the same examples with different methods to compare and validate the proposed method. The proposed seven-step of affinity weight with FTOPSIS method finally managed to solve the cloud solution problem and the result was beautifully consistent with the other two methods.