Quantifying trust evaluation based on approximate reasoning

Trust has always played a pivotal role among two individuals or parties in decision making. But, trust is an entity which is not crisp. Due to its imprecise nature, the authors realized the importance of quantifying trust in the world of Internet i.e. while reading a blog of an unknown person or when one´s friend writes something about him on a social networking site and also in the real world when somebody is interviewed and so on. In this paper, the authors have proposed a novel methodology to evaluate trust. Some samples have been taken, for example, whose sentiments were classified using Opinion Mining and these samples were fuzzified and then defuzzified to arrive at a decision. The proposed tactic is capable of evaluating trust effectively and the calculated value is in concurrence with the sample´s conduct.