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Evaluation Of Different N Management Strategies Using A Tool For Fuzzy Multi Attributive Comparison Of Alternatives
1E. Krueger, 2D. Kurtener, 3R. Khosla
1. Agrophysical Research Institute
2. Agrophsycal Research Institute, St.Petersburg Russia
3. Department of Soil and Crop Sciences, Colorado State University, Fort Collins, CO 80523

Application of precision agriculture is related with choosing of optimal agrotechnilogy and, in particular, with definition of the best alternative of N management strategy.

A potential satisfactory solution of this decision analysis problem could be the uses of multi attribute decision-making analysis based on fuzzy set theory and fuzzy logic (FMADA). This technique provides a means to achieve an optimal decision for real world problems which involve multiple alternatives and criteria in qualitative and quantitative domains.

The aim of this paper is to present the prototype of fuzzy multi-attribute decision making tool for comparison of alternatives in agricultural research and application of it for evaluation of four N management strategies.

In this study comparison of alternatives was carried out in two variants: 1) Identification of the best alternative (management strategy) when the price for corn based on actual prices, and 2) Identification of the best alternative (management strategy) when the price of corn is vary. Results of computer simulation indicated that in the first variant of study for Site-Years 1 the 4 alternative is the best. For Site-Year 2 and Site-Year 3 the 3 alternative is the best. Also it was obtained that in the second variant of study the best alternative is the 4 (for Site-Year 1) and the 3 (for Site-Year 3).

Keyword: fuzzy set theory , fuzzy logic, multi-attribute decision making, N management strategies