Journal of Intelligent & Fuzzy Systems 29 (2015) 1769–1778 DOI:10.3233/IFS-151654 IOS Press 1769 Functional organization of an artificially intellectualized home environment based on Mamdani and Takagi-Sugeno procedures Raimundas Jasinevicius, Egidijus Kazanavicius, Laura Kizauskiene, Agnius Liutkevicius, Vytautas Petrauskas ∗ and Arunas Vrubliauskas Center of Real Time Computer Systems, Kaunas University of Technology, K. Barsausko 59, Kaunas, LT, Lithuania Abstract. A substantial amount of scientific research and publications in the smart home domain deal with different aspects of fuzzy logic application. However, we feel there is a general lack of complex modelling done of the whole smart home environment. So, the main goal of this paper is threefold: 1) to present a virtual model of a smart home environment to be intellectualized, 2) to demonstrate the efficiency of Mamdani type inference procedure in modelling of intellectual behaviour of the environment and 3) to show that it is possible to minimize the quantity of fuzzy rules by taking the hierarchical approach and adding the Takagi- Sugeno inference procedure to empower it. The results of computerized modelling and simulation are delivered in the paper demonstrating the practical viability and efficiency of the theoretical approach. The model of the intelligent home environment was used in two projects. Since a formalized analytical method for evaluating the sensitivity of system parameters still does not exist, the experimental sensitivity simulation in our case is performed and presented in this paper. Characteristics obtained in the modelled virtual environment can be easily expanded and used in a real home environment by changing pixels into real coordinates and the light intensity into other real variables. Keywords: Functional organization, fuzzy rules, intellectualized home environment, hierarchical approach, virtual model 1. Introduction: Related works and the goal of the paper As can be seen from a large number of state- of-the-art research initiatives and publications in the sphere of intelligent home environments, fuzzy logic remains an important technique in various applications. The extent of research in this area stems from smart home applications that control lighting [1–5], energy savings [6–8], home security [9, 10] and healthcare monitoring systems [11]. A lot of attention is also devoted to the development of fuzzy-based systems for ∗ Corresponding author. Vytautas Petrauskas, Center of Real Time Computer Systems, Kaunas University of Technology, K. Barsausko 59-A314, Kaunas, LT 51423, Lithuania. Tel.: +370 37 300 390; Fax: +370 610 03933; E-mail: vytautas.petrauskas@ktu.lt. prediction of users’ behavior and recognition of their activity [12–21], assessing context awareness [22, 23] and other services [24]. So, because of their nature and applicability, fuzzy systems show great poten- tial and yield promising results in dealing with many real-life problems. The advantages of these systems are grounded by practical implications of the research community: fuzzy systems are fairly comprehensible and considerably easy to design; control systems that use fuzzy logic are generally fast and memory effi- cient, as well as economically-effective in terms of realization costs. Most of the abovementioned pub- lications conclude that experimental results obtained during research verify the feasibility of fuzzy sys- tems in solving home environment related tasks, as well as the accuracy of the obtained results. However, 1064-1246/15/$35.00 © 2015 – IOS Press and the authors. All rights reserved