Volume 5, Issue 2 (June 2020)                   J Environ Health Sustain Dev 2020, 5(2): 1001-1009 | Back to browse issues page

10.18502/jehsd.v5i2.3387


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Occupational Health Research Center, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
Abstract:   (1091 Views)
Introduction: The purpose of the present applied research is to design a comprehensive, inclusive and flexible process for a suitable strategic planning based on effective factors and parameters.
Materials and Methods: To this end, strategic operational programs for controlling environmental pollutants were identified using the logic and algorithm applied in the artificial neural network model and Neuro Solutions software, prioritizing the weight of the programs and predicting the probable future ecosystem conditions. The Delphi approach was used to screen and perform pairwise comparisons of criteria factors, sub-criteria and strategic action plans. The SWOT matrix technique was implemented to control environmental pollutants. Then, in the fuzzy neural network, Neuro Solutions software was used to prioritize weighting and predicting future probable conditions to form the matrices of decision as entrance ANN model was used.
Results: The output of the implementation of the Neuro Solutions software shows that the strategic action plan has developed a comprehensive and integrated landscape system consistent with the nature of the forest, mountain and valley of the Siah Bisheh with a score of weighing 0.6161 in the first priority and last priority (12th rank) which are subject to periodic audits. The environment has been allocated to increase the ecosystemchr('39')s ability to return in the face of natural and human hazards with an odd weight of 0.5673.
Conclusion: Based on this fact, among the studied indices, economic, social and cultural factors ranked first among the criteria studied, and tourism ranked first among the sub criteria of the study.
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Type of Study: Original articles | Subject: Special
Received: 2019/03/3 | Accepted: 2019/05/30 | Published: 2020/06/27