The Analysis of Environmental Sustainability for Rural Housing Using Fuzzy Interference Systems (Case Study: Rural Areas in Marivan County)

Document Type : Scientific Articles

Authors

• Bahram Imani ¹
• Asghar Pashazadeh ¹
• Seyed Hadi Karimi ²

¹ Mohaghegh Ardabili University

² University of Tehran

10.22067/jrrp.v8i1.70319

Abstract

Purpose- Housing has been one of the basic needs of the human beings, and the settlements have also been considered as the basic needs in terms of human communities. In order to satisfy such needs appropriately, traditionally human beings have intended to supply such needs as dealing with their surrounding environment. The current research intends to define the indices of housing sustainability in order to investigate the sustainability of environment for rural housing in Marivan County.
Design/methodology/approach- The required data was collected using documentary methods and field studies together with questionnaires. First, the environmental variables of sustainable housing for rural areas were defined. Next, using hierarchical sampling method together with Cochran formula, 295 rural households were selected as the sample of the study. The tool for collecting the data was a questionnaire with an acceptable reliability endorsed using pre-test, data analysis, and the calculation of Cronbach's alpha coefficient. Finally, in order to analyze the data, fuzzy interference system (FIS) was used within the MATLAB software. For mixing the results obtained from measuring the elements of environmental sustainability, the gamma fuzzy was used together with FIS.
Findings- The results indicated that the environmental sustainability of rural housing in the current research included the values of 0.9, 0.7, and 0.5 for gamma fuzzy which respectively included 0.09, 0.22, and 0.52. This indicates that the environmental sustainability of rural housing is not desirable for the areas investigated in this study.
Research limitations/implications- The most important problem with the current research was that the household heads in the rural areas could not be easily accessed for data collection.
Practical implications- With respect to the results, it is recommended that the economic, cultural, and social conditions of the rural areas and the subsistence of their native residents should be in line with the climatic and geographical conditions of the areas.
Originality/value- The results of the current research can pave the way for studying the sustainability of the rural housing, especially in the area which has been studied.

Keywords

• Rural Housing
• Environmental sustainability
• fuzzy inference fuzzy (FIS)
• fuzzy gamma
• Marivan city

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