The estimation of the QoE provides valuable input in order to measure the user satisfaction of a particular service/application. Network QoE estimation is challenging as it tries to measure a subjective metric where the user experience depends on a number of factors that cannot easily be measured. All the Network analysis models can be divided into two major groups: qualitative and quantitative. In recent years many quantitative models have been developed in terms of quantitative measures i.e. use of scale of numbers between 1 to 5 to represent user perception of QoS. The challenge with this model is where user perception is subjective and not precise thus cannot be clearly measured using quantitative methods. On the other side qualitative models are in early stages of exploration. Little has been done on qualitative methods. Basing on previous studies, few models exists that measure qualitative analysis of computer network quality of experience. However none incorporated all the four parameters of integrity of service; throughput, delay, packet loss and jitter as parameters of network QoE. In this work, a literature survey is done on qualitative performance by use of a variety of variables, input and output linguistic terms. After a broad survey of the literature, we tend to propose a fuzzy logic model for analysis of computer network QoE. Likewise, the model combines all the four parameters of network integrity of service parameters since they are the primary factor for QoS quantification of any network [1]. Moreover, by using the fuzzy logic concept, the output linguistic terms shows the user perception about a product or a service (QoE) to certain levels by use of membership functions, in this case triangular membership function which shows the mapping of each linguistic term to certain range of values rather being precise to a particular value. By such means, the developed fuzzy logic model tends to accommodate some degree of uncertainty and vague network values to be used for analysis purposes. The concern is to advance the analysis and evaluation of quality of experience in computer networks by use of fuzzy logic concept. The target population for this model is the ISPs’ clients. This will enable ISPs to have the best responsive measures to deal with clients’ QOE parameters so as to meet the QOS as per SLAs