An Assessment of Thermal Comfort in Urban Quality of Life in Architecture Using Fuzzy Logic in Decision Making: A Case Study of Iran

Thermal comfort is a notion that has been discussed recently in various studies, in particular architecture and urban planning as a response to many problems facing new cities all over the world and it is one of the factors that plays a very important role in the quality of life in architectural and urban design process. Evaluating thermal comfort based on climatic conditions assist architects and designers in choosing suitable regions to shape cities and buildings. In this context, Iran as a country with different climatic conditions is proposed to be analyzed and visualized as a case study. Fuzzy logic approach is used in this study as the methodology in conjunction with its inputs that are defined as air temperature, air quality, and humidity which are known as indispensable principles in architectural and urban design, and the output is determined as thermal comfort in each province, ranges between 0 and 1 (from not preferable to the most preferable provinces). This paper aims to throw light on the importance of fuzzy logic approach in architecture and urban planning and the process of analyzing thermal comfort of each region for users by means of MATLAB (a fuzzy logic-based software). For this, after an introduction and overview on fuzzy logic method and its application in this study, the results of analysis obtained are collected in tables and visualized as figures.