Challenges for Perceptual Computer Applications and How They Were Overcome PROJECT TITLE :Challenges for Perceptual Computer Applications and How They Were OvercomeABSTRACT:Perceptual Computing could be a methodology of Computing with Words (CWW) to assist humans in creating subjective judgments. This article introduces the Perceptual Pc (Per-C), our instantiation of Perceptual Computing. Per-C consists of three parts: encoder, CWW engine and decoder. Perceptionswordsactivate the Per-C and are the Per-C output (along with information); thus, it's doable for a person's to interact with the Per-C using just a vocabulary. The encoder transforms words into fuzzy sets and leads to a codebookwords with their associated fuzzy set models. The outputs of the encoder activate a CWW engine whose output is a number of other fuzzy sets, that are then mapped by the decoder into a recommendation (subjective judgment) with supporting knowledge. The recommendation might be in the form of a word, group of comparable words, rank or category. When the Per-C was applied to actual applications, challenges occurred that needed to be overcome. In this text we describe 3 applications (investment decision creating, social judgment creating, and distributed call creating), the challenges encountered and how they were overcome. Did you like this research project? To get this research project Guidelines, Training and Code... Click Here facebook twitter google+ linkedin stumble pinterest Application of Type-2 Fuzzy Logic Filtering to Reduce Noise in Color Images Towards the Wide Spread Use of Type-2 Fuzzy Logic Systems in Real World Applications