Evaluation of Cloud Computing Copyright Protection Based on AHP

Abstract

To increase the protection level of copyright in cloud computing environment, aiming at the problems that the indicators in the copyright protection evaluation system are difficult to accurately define and cannot be quantified, a comprehensive evaluation model of copyright protection based on the combination of analytic hierarchy process and fuzzy comprehensive evaluation is proposed. First, using the analytic hierarchy process (AHP), the copyright protection evaluation system is constructed and the weight of each evaluation index is determined through the judgment matrix. Then the quantitative evaluation result is fuzzy operated through index weight and evaluated data. Finally, the simulation evaluation results on specific example show that this model is reasonable and effective, and it can provide the evaluation basis and practical reference for copyright protection evaluation in cloud computing environment.

Fire safety assessment for older adults in high-rise residential buildings in India: a comprehensive study

“… Determine the index weight : An anonymous questionnaire was used to acquire the judgement matrix for each level. If there was a significant disagreement on expert comments, multiple rounds of consultation were used until the judgement matrix data were consistent (Li and Peng, 2020). …”

“…The corresponding evaluation vector: V = {90 70 50 30 10}. Treated by the fuzzy, the domain of discourse of risk rating is ES = {100 ∼ 81, 80 ∼ 61, 60 ∼ 41, 40 ∼ 21, 20 ∼ 0} (Li and Peng, 2020). The definition of various risk levels and scores are described in Table 2. Step 4 .…”

“…An index is given an i th grade when the grade r ij indicates how high the i th index should be given. Another way to determine the current index is to divide the total number of experts by the number in the j th grade (Li and Peng, 2020). Ten experts were used in this study for membership matrix which is established as per: Step 5 .…”

“…B i is the fuzzy comprehensive evaluation result of the evaluation index, G T is the scale value corresponding to each comment set, and ES i is the final evaluation score (Li and Peng, 2020). Finally, using case studies, a fire risk assessment system for older adults (FRASO) is validated and tested on 9 high-rise buildings in Ahmedabad.…”

Bulut Bilişim Güvenliği Etki Düzeylerinin Değerlendirilmesi

“…Literatürde AHS ve BAHS yöntemi ile ilgili çalışmalara bakıldığında, bilişim teknolojileri [32,[33][34][35][36][37][38][39][40], ulaşım [41,42], enerji [43] ve sağlık [44] alanlarında da kullanıldığı görülmektedir.…”