The objective of this research work is to propose a direction for solving the problem of service selection effort (SSE) estimation in service-oriented architecture based applications. For this, significant parameters are identified that affect the SSE by critically examining the existing literature. After that, parameter relation is established with SSE. That is, whether they are beneficial or non-beneficial parameters. Finally, an algorithm is developed powered by information entropy weigh fuzzy comprehensive evaluation model wherein the synthesis performance of each candidate service is evaluated to select the most preferred service. Practicability and feasibility of the proposed approach are demonstrated with the help of three empirical studies.