تعیین الگوی کشت بهینه با استفاده از الگوریتم بهینه‌سازی چندهدفه غیرخطی فازی: مطالعه موردی

نوع مقاله: مقاله پژوهشی

نویسندگان

1 استادیار گروه اقتصاد کشاورزی، دانشگاه زابل

2 استادیار گروه مهندسی آب، دانشگاه آزاد اسلامی، واحد علوم و تحقیقات، فارس

3 دانشیار گروه زیست‌شناسی، دانشگاه آزاد اسلامی، واحد جهرم

چکیده

افزایش بهره‌وری استفاده از منابع به‌کمک بهینه‌سازی الگوی کشت محصولات زراعی، یک راهکار مناسب برای توسعه بخش کشاورزی است. در این تحقیق با استفاده از الگوی برنامه‌ریزی چندهدفه غیرخطی فازی امکان تحقق آرمان‌های حداکثر کردن بازده برنامه‌ای در مصالحه با اهداف کاهش مصرف آب، حداقل کردن مصرف کود شیمیایی، حداقل کردن ریسک تولید و افزایش منافع اجتماعی از طریق افزایش سطح اشتغال نیروی کار در الگوی کشت شهرستان مرودشت استان فارس بررسی شد. در این روش با هدف حداکثر شدن جمع موزون مقادیر اهداف فازی، سطح زیر کشت محصولات به‌گونه‌ای بهینه‌سازی می‌شود که قادر به تأمین اهداف یاد شده در بازه حد تحمل تعریف شده برای آنها باشد. هر چند در بسیاری موارد امکان تحقق کامل این آرمان‌ها در الگوی چندهدفه در مقایسه با الگوهای تک‌هدفه وجود ندارد، ولی درنظر گرفتن برآیند نتایج و اختصاص وزن مربوطه به هر یک از اهداف از سوی تصمیم‌گیرنده که در قالب تابع مسافت مرکب آرمانی نمایان می‌شود، نشان داد که الگوی چندهدفه نسبت به الگوی جاری و حتی الگوهای تک‌هدفه با انجام مصالحه بین آرمان‌های چندگانه، برتری دارد. اجرای این الگو در مناطق مورد مطالعه علاوه بر کاهش مصرف آب و کود شیمیایی، افزایش بازده برنامه‌ای و کاهش ریسک را نیز در بر دارد.

کلیدواژه‌ها


عنوان مقاله [English]

Optimal Cropping Pattern Using a Multi-objectives Fuzzy Non-linear Optimization Algorithm: A Case Study

نویسندگان [English]

  • Hamid Mohammdi 1
  • Fardin Bostani 2
  • Farshid Kafilzadeh 3
1 Assist. Prof. of Economy, Zabol University
2 Assist. Prof. of Water Eng., Islamic Azad University, Sciences and Research Branch, Fars
3 Assoc. Prof. of Biology, Islamic Azad University, Jahrom Branch, Jahrom
چکیده [English]

Increasing the resources productivity using cropping pattern optimization is a proper way for agricultural development. In this study, the ideals’ realization possibility of maximizing the gross margin in compromising with reducing the water consumption, minimizing the fertilizers uses, minimizing the production risk, and maximizing the social benefits of cropping pattern were analyzed using a multi-objectives fuzzy non-linear programming model in Marvdasht City of Fars Province. In this approach, the crop area is optimized to maximize the weighted sum of fuzzy objective in the range of their given bearing bounds. Results show that in many cases the possibility of complete ideals realization in the multiple goals model in comparison with single goal patterns was not observed. Considering the outcomes and the relevant weight assigned to each of the goals by the decision maker consisting of the Fuzzy Composite Distance Function reveals that the cropping patterns base on multiple goals are superior to current patterns and even single goal pattern in supply of multiple compromised ideals. Implementation of these models in study areas has significant influence on reducing water use as well as increasing the gross margin and reducing fertilizer use and risk.

کلیدواژه‌ها [English]

  • Crop Pattern
  • Multi-Objective Optimization
  • Fuzzy Non-Linear Programming
  • Economic Return
  • employment
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