Evaluating the Impact of Prediction Techniques: Software Reliability Perspective

Analyzing the Big Data Security Through a Unified Decision-Making Approach

“…Regardless, the underlying vagueness and ambiguity found by drawing the consciousness of precise no's of a decision-maker are impossible to measure with AHP [25]. The author discovered that practitioners consolidated fuzzy theory with AHP since the real world is especially shaky for investigating uncertain real situations [25,26]. Furthermore, the AHP uses the matrix for pair-wise comparisons in "MCDM" situations, as shown in Eq.…”

“…Reverse fuzzification is defuzzification. The defuzzification approach used in this work was adapted from [26,27], which was created in Eqs. (5-7), and is known as alpha cutting.…”

Software Reliability Assessment Using Hybrid Neuro-Fuzzy Model

“…Sahu et al [17] proposed Fuzzy AHP-TOPSIS; they take three different alternatives from different databases to predict software reliability, yielding more accurate results than AHP. Sahu et al [18] emphasize the usability reliability prediction models in the paper as a suggestion to the industry people to enhance the software's reliability, resulting in a low failure rate and making it cost-effective.…”

Toward Selection of Trustworthy and Efficient E-Learning Platform

“…Coursera also offers social quizzes as well as homework assistance from other classmates. Students at smaller colleges may be allowed to supplement their course requirements with top-notch instruction from respected university professors [36][37][38][39]. Coursera is extremely well-organized.…”

“…From the analysis of different research studies, it has been found that applying different methods to the same data shows variations in the final results. This implies that a comparative study will be beneficial to achieve more reliable results [38][39]. So, the accuracy of results has been checked by researchers through the implementation of different techniques to check [40][41].…”