Abstract—Recently, the green architecture become a significant way to a sustainable future. Green building designs involve finding the balance between comfortable homebuilding and sustainable environment. Moreover, the utilization of the new technologies such as artificial intelligence techniques are used to complement current practices in creating greener structures to keep the built environment more sustainable. The most common objectives in green buildings should be designed to minimize the overall impact of the built environment that effect on ecosystems in general and in particularly human health and natural environment. This will lead to protecting occupant health, improving employee productivity, reducing pollution and sustaining the environmental. In green building design, multiple parameters which may be interrelated, contradicting, vague and of qualitative/quantitative nature are broaden to use. This paper presents a comprehensive critical state- of- art- review of current practices based on fuzzy and its combination techniques. Also, presented how green architecture/building can be improved using the technologies that been used for analysis to seek optimal green solutions strategies and models to assist in making the best possible decision out of different alternatives. Keywords—Green architecture/building, technologies, optimization, strategies, fuzzy techniques and models. I. INTRODUCTION OR many years, buildings that offer comfortable, flexible and energy efficient living environment at a minimal cost has been the expectation of building owners and occupiers. To attain this aspiration, a variety of advanced building technologies have been developed in the past two decades, aiming to improve the building performance to satisfy a variety of human needs and environmental sustainability [1]. The theories, techniques, and implementations of the green building aspects are the most difficult areas in architectural design among others. Techniques are a part of the design process in architecture, landscape and urban planning. Architects are entrusted with the responsibility of planning of environmental from a single floor to a complete house; a multi storied building to a large urban space which could even be megacities [2]. Recently, the architectural design including Ghada ElShafei is PhD Student with the Department of Environmental Engineering, Egypt-Japan University of Science and Technology E-JUST, New Borg El-Arab, Alexandria, Egypt (corresponding author to provide phone: +20-1116683799; e-mail: Ghada.Elshafei@ejust.edu.eg). Abdelazim Negm is Chairperson of Department of Environmental Engineering, Egypt-Japan University of Science and Technology E-JUST, New Borg El-Arab, Alexandria, Egypt (e-mail: negm@ejust.edu.eg). sustainable and green environmental parameters is typically formulated as follow: The green design of the environmental architectural is defined as finding of feasible solutions for a set of interrelated factors that not only meet design requirements and maximize design quality according to design preferences but also satisfies aesthetic and usability. These factors include a log list such as renewable energies [3]; eco-designs [ ]; solar energy, [ ]-[7]; eco-lighting [8]; compressed shopper waste (CSW) blocks [9]; safe waste disposal [10]; comfortable air- conditioning facilities [11]; natural ventilation designs [12], [13]; shading designs [14]; heating systems [15], [16]; utilizing green roofs [17]; building envelopes, [18]; and wall insulation for buildings and double-skin facades [19]-[21]. The potential use of Information Technologies (IT), and Artificial Intelligence (AI) algorithms supported the researches in the domain of spatial assessment, optimization of urban planning and environmental design of buildings and it is now considered a major area of research [22]. There are various technologies that used in the green architecture/ building optimization and assessment, including AI algorithms, Genetic Algorithms (GA), Analytic Hierarchy Process (AHP), Fuzzy Logic (FL), with the combinations of other techniques as Fuzzy-Delphi (DFuzzy), Artificial Neural Networks (ANN), Neural Network Fuzzy (NNF), and Genetic Artificial Neural Networks (GANN) within the scope of environment impact assessment and decision support. Consequently, this paper comes on line to make a valuable critical review of the most recent applications (2010-2015) of one of these techniques, namely, fuzzy and its combination schemes. It focuses on the current state-of-the-art in the application of fuzzy techniques in virtual environmental simulation and corroborates relevant knowledge gaps. II. FUZZY LOGIC (FL) CONCEPT Among the AI techniques, the fuzzy logic is conceptually easy to understand, flexible, tolerant of imprecise data, Capable of modelling nonlinear functions of arbitrary complexity, capable of building on top of the experience of experts, capable of blending with conventional control techniques and based on natural language. To implement a fuzzy system, three main steps are needed, namely, (Fuzzification, Inference and Defuzzification). Interested reader in building fuzzy systems can consult e.g. [23]. Optimization of Strategies and Models Review for Optimal Technologies - Based On Fuzzy Schemes for Green Architecture Ghada Elshafei, Abdelazim Negm F World Academy of Science, Engineering and Technology International Journal of Architectural and Environmental Engineering Vol:9, No:4, 2015 444 International Scholarly and Scientific Research & Innovation 9(4) 2015 scholar.waset.org/1307-6892/10001068 International Science Index, Architectural and Environmental Engineering Vol:9, No:4, 2015 waset.org/Publication/10001068