64 Copyright © 2012, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited. Chapter 4 INTRODUCTION The growing amount of information on the WEB and the heterogeneous characteristics of Web us- ers have lead to a considerable attention to web- based adaptive hypermedia systems (WAHS) by the research community (Brusilovsky, 1996, 2001). The power of hypermedia of web tech- nology is in its capability to support non-linear navigation in hyperspace and multimedia pre- sentation of the web content. WAHS offers an alternative to the traditional “one-size-fits-all” hypermedia and Web systems by adapting to the goals, interests, and knowledge of individual Ilham N. Huseyinov European University of Lefke, Turkey Fuzzy Linguistic Modelling in Multi Modal Human Computer Interaction: Adaptation to Cognitive Styles using Multi Level Fuzzy Granulation Method ABSTRACT The purpose of this chapter is to explore fuzzy logic based methodology for computing an adaptive inter- face in an environment of imperfect, vague, multimodal, complex nonlinear hyper information space. To this end, based on fuzzy linguistic modelling and fuzzy multi level granulation an adaptation strategy to cognitive/learning styles is presented. The granulated fuzzy if-then rules are utilized to adaptively map cognitive/learning styles of users to their information navigation and presentation preferences through natural language expressions. The important implications of this approach are that, frst, uncertain and vague information is handled; second, a mechanism for approximate adaptation at a variety of granu- lation levels is provided; third, a qualitative linguistic model of adaptation is presented. The proposed approach is close to human reasoning and thereby lowers the cost of solution, and facilitates the design of human computer interaction systems with high level intelligence capability. DOI: 10.4018/978-1-4666-0954-9.ch004