A Comparative Study on Decision Support Approaches Under Uncertainty

Christias, Panagiotis

doi:10.1007/978-3-030-04849-5_45

Cited by 3 publications

(3 citation statements)

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“…Conditional probabilities can help examine the utilities given the new facts. Multicriteria approaches while exploiting posterior information are used in diverse areas such as public health, energy conservation and economics [24,[88][89][90]. Suppose we are looking for the chances of achieving crop yields in various weather conditions.…”

Section: Shortcomings Of Probabilistic Approachesmentioning

confidence: 99%

“…Table 9 shows the results for the simple multicriteria approach based on Equations ( 22)- (24), where the last strategy is the optimal. The reason this strategy has high utility is that it performs really well regarding the three multicriteria factors.…”

Section: Simple Multicriteria Approachmentioning

confidence: 99%

“…The key characteristic of fuzzy logic is the use of qualitative (linguistic) variables instead of quantitative variables to represent inaccuracy. Fuzzy methods power decision intelligence in economics [20], medical diagnosis [21,22] and engineering [23,24]. The use of fuzzy logic in solving a decision problem involves a degree of tolerance in the inaccuracy to characterize data and the solution approach [25].…”

Section: Introductionmentioning

confidence: 99%

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Comparison of Three Computational Approaches for Tree Crop Irrigation Decision Support

et al. 2020

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This paper explores methodologies for developing intelligent automated decision systems for complex processes that contain uncertainties, thus requiring computational intelligence. Irrigation decision support systems (IDSS) promise to increase water efficiency while sustaining crop yields. Here, we explored methodologies for developing intelligent IDSS that exploit statistical, measured, and simulated data. A simple and a fuzzy multicriteria approach as well as a Decision Tree based system were analyzed. The methodologies were applied in a sample of olive tree farms of Heraklion in the island of Crete, Greece, where water resources are scarce and crop management is generally empirical. The objective is to support decision for optimal financial profit through high yield while conserving water resources through optimal irrigation schemes under various (or uncertain) intrinsic and extrinsic conditions. Crop irrigation requirements are modelled using the FAO-56 equation. The results demonstrate that the decision support based on probabilistic and fuzzy approaches point to strategies with low amounts and careful distributed water irrigation strategies. The decision tree shows that decision can be optimized by examining coexisting factors. We conclude that irrigation-based decisions can be highly assisted by methods such as decision trees given the right choice of attributes while keeping focus on the financial balance between cost and revenue.

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Section: Shortcomings Of Probabilistic Approachesmentioning

confidence: 99%

Section: Simple Multicriteria Approachmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Comparison of Three Computational Approaches for Tree Crop Irrigation Decision Support

et al. 2020

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Enhancing Bayes' Probabilistic Decision Support with a Fuzzy Approach

Christias

Mocanu

2019

2019 22nd International Conference on Control Systems and Computer Science (CSCS)

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Estimating Soil Clay Content Using an Agrogeophysical and Agrogeological Approach: A Case Study in Chania Plain, Greece

Kritikakis

Kokinou

Economou

et al. 2022

Water

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Thorough knowledge of soil lithology and its properties are of considerable importance to agriculture. These parameters have a direct impact on water permeability and the content of the water in soil, which represent significant factors in crop yield, decisively determining the design of irrigation systems and farming processes. In the framework of this study, and considering the inevitable impacts of climate change, the rational management of water resources and the optimization of irrigation through innovative technologies become of significant importance. Thus, we propose an interdisciplinary approach based on robust techniques from the allied fields of earth (geological mapping, geophysical methods) and soil sciences (sampling, mechanical analysis) assisted by statistics and GIS techniques. Clay or the sum of clay and silt soil content is successfully determined from the normalized chargeability using induced polarization and electrical resistivity techniques. Finally, we distinguished three classes (S1, S2 and S3) considering the clay or the sum of clay and silt soil content in the study area (a) based on the dry period geophysical data and (b) using as classification criterion the spatial distribution of the geological formations.

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A Comparative Study on Decision Support Approaches Under Uncertainty

Cited by 3 publications

References 2 publications

Comparison of Three Computational Approaches for Tree Crop Irrigation Decision Support

Comparison of Three Computational Approaches for Tree Crop Irrigation Decision Support

Enhancing Bayes' Probabilistic Decision Support with a Fuzzy Approach

Estimating Soil Clay Content Using an Agrogeophysical and Agrogeological Approach: A Case Study in Chania Plain, Greece

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