الفهرس 
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Abstract
Evaluation process studies concern gathering information that assist in decision making about a specific situation concerning measurement, selection, and assessment process. In measurement process, the preferences that influence the situation to establish standard rules are determined. The selection process concerns the selection of the most proper option by collecting decision makers’ knowledge. Finally, Assessment process gathers implicit and explicit information to ensure that defined objective has been attained.LMSs evaluation previous studies are implemented under complete information, while many uncertainty aspects do exist in the real world. As LMSs systems were described by decision makers and experts with vague, imprecise, ambiguous, and inconsistent terms, it is comprehensible that traditional methods may not be effective. In this dissertation, LMSs evaluation model is presented which concerns three challenges: exploring the factors affects the success of LMS, seeking to determine the most suitable alternative that meets institution’s requirements, and assessing the LMS quality. Due to the first challenge, as success is not measurable with a single factor such as intention of use or user satisfaction, several researches have been identified different factors for the success of information systems and eLearning systems. In this side of study, an investigation of the LMSs success critical factors from different perspectives and development of a comprehensive model for measuring success of LMSs based on previous researches and experts in the context of eLearning practices in higher education based on neutrosophic sets are presented based on neutrosophic logic as a better option to simulate human thinking to address indeterminacy of information. The findings show that learner characteristics, information quality and service quality factors have the most important concern on LMSs success studies. Due to the second challenge, this part of study develops a novel hybrid neutrosophic analytic hierarchy process method to support handling uncertainty in the decision-making process to address indeterminacy of information. To show the applying of the developed method, a numerical example of an LMS selection is made using the method of neutrosophic analytic hierarchy process. In results, it is shown that the neutrosophic logic can represent uncertainty manner by human thinking. Obtained results have shown that Moodle is the most suitable LMS that meets defined criteria. Due to the third challenge, this portion of dissertation presents neutrosophic expert system for learning management systems quality assessment. As neutrosophic logic is an approach to simulate human reasoning as it can handle indeterminacy of information which indicates the percentage of anonymous parameters. Building and validating information of the neutrosophic expert system are collected from eight experts using semi-structured questionnaire, and then analysis is done. Finally, the comparison between fuzzy expert system and neutrosophic expert system results show that the neutrosophic logic is capable of representing uncertainty in human thinking for evaluating LMSs.