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PL
Celem artykułu jest rozszerzenie metody SAW na problemy podejmowania decyzji z danymi przedziałowymi. Pozwala to na modelowanie problemów rzeczywistych, w których nie można dokładnie zmierzyć danych. Zaproponowana metoda wykorzystuje entropię Shannona, która jest jedną z metod wyznaczania obiektywnych wag kryteriów. Pozwala to uniknąć subiektywizmu i nieprecyzyjności spowodowanej niekompletną wiedzą, osądami, opiniami i preferencjami decydentów.
XX
The aim of the paper is to extend the SAW method for decision-making problems with interval data. This allows modeling real life problems in which data cannot be measured precisely. Moreover, proposed method uses Shannon’s entropy which is one of the methods for finding objective weights of criteria. It allows to avoid subjectivity and imprecision caused by incomplete knowledge, judgments, opinions and preferences of decision makers.
EN
The problem of choosing the best type of water for the irrigation of olive trees is one of the decisions that have a crucial impact on the water resource management. To solve this problem, we propose a multi-expert approach, implying several quantitative and qualitative criteria and combining the AHP method and Shannon’s entropy probability method. First, we use the AHP method to calculate all criteria weights for the various hierarchical levels as well as weights of the alternatives. Using the results obtained, we rank the types of water according to four experts. However, the data supplied by the experts are contradictory. We therefore combine these results according to the experts’ importance. We used Shannon’s entropy to determine the importance degree of each expert, to aggregate the results. The proposed approach showed that using well water was selected as the best for irrigation. Reuse of treated wastewater was classified as second, followed by desalinated brackish water and, next, by desalinated seawater.
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