Intelligent building control systems for thermal comfort and energy-efficiency: A systematic review of artificial intelligence-assisted techniques
Building operations represent a significant percentage of the total primary energy consumed
in most countries due to the proliferation of Heating, Ventilation and Air-Conditioning …
in most countries due to the proliferation of Heating, Ventilation and Air-Conditioning …
[BOOK][B] Fuzzy and neuro-fuzzy intelligent systems
E Czogala, J Leski - 2012 - books.google.com
Intelligence systems. We perfonn routine tasks on a daily basis, as for example:• recognition
of faces of persons (also faces not seen for many years),• identification of dangerous …
of faces of persons (also faces not seen for many years),• identification of dangerous …
[PDF][PDF] Fuzzy modeling and control of HVAC systems–A review
J Singh, N Singh, JK Sharma - 2006 - nopr.niscpr.res.in
Paper presents role of fuzzy modeling in heating, ventilating and air conditioning (HVAC)
and control models. HVAC design professionals are required to evaluate numerous design …
and control models. HVAC design professionals are required to evaluate numerous design …
Support vector learning mechanism for fuzzy rule-based modeling: a new approach
JH Chiang, PY Hao - IEEE Transactions on Fuzzy systems, 2004 - ieeexplore.ieee.org
This paper describes a fuzzy modeling framework based on support vector machine, a rule-
based framework that explicitly characterizes the representation in fuzzy inference …
based framework that explicitly characterizes the representation in fuzzy inference …
Granular fuzzy rule-based models: A study in a comprehensive evaluation and construction of fuzzy models
Fuzzy models are regarded as numeric constructs and as such are optimized and evaluated
at the numeric level. In this study, we depart from this commonly accepted position and …
at the numeric level. In this study, we depart from this commonly accepted position and …
[BOOK][B] LMI approach to analysis and control of Takagi-Sugeno fuzzy systems with time delay
SinceinitiatedbyLot? A. Zadehin1965, fuzzysettheoryhastriggeredacons-erably large body of
areas to blossom. A fuzzy system is, in a very broad sense, anyfuzzylogic-basedsystemwherefuzzylogiccanbeusedeit …
areas to blossom. A fuzzy system is, in a very broad sense, anyfuzzylogic-basedsystemwherefuzzylogiccanbeusedeit …
Design of adaptive Takagi–Sugeno–Kang fuzzy models
D Kukolj - Applied Soft Computing, 2002 - Elsevier
The paper describes a method of fuzzy model generation using numerical data as a starting
point. The algorithm generates a Takagi–Sugeno–Kang fuzzy model, characterised with …
point. The algorithm generates a Takagi–Sugeno–Kang fuzzy model, characterised with …
[PDF][PDF] Fuzzy logic controllers. Advantages and drawbacks
In this paper, an analysis of the tole of fuzzy logic ontrollers is carried out. Its interpretation
and the enditions for successful implementation in several entrol structures, jointly with their …
and the enditions for successful implementation in several entrol structures, jointly with their …
A hierarchical fuzzy-clustering approach to fuzzy modeling
This paper introduces a new method for fuzzy modeling based on a hierarchical fuzzy-
clustering scheme. The method consists of a sequence of steps aiming towards develo** …
clustering scheme. The method consists of a sequence of steps aiming towards develo** …
Evolutionary fuzzy modeling
This study is concerned with a general methodology of identification of fuzzy models. Unlike
numeric models, fuzzy models operate at a level of information granules-fuzzy sets-and this …
numeric models, fuzzy models operate at a level of information granules-fuzzy sets-and this …