This paper reviews multicriteria analysis applied to agricultural resource management. The applications utilize either methods for selecting multiattribute discrete alternatives (including multiattribute utility theor...
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This paper reviews multicriteria analysis applied to agricultural resource management. The applications utilize either methods for selecting multiattribute discrete alternatives (including multiattribute utility theory) or methods for solving multiobjective planning problems (including goal programming). Our main purpose is to classify and evaluate the criteria (attributes, objectives) used for modeling agricultural systems and to identify the difficulties for practitioners in applying the methodology. The fields of study in agricultural decisions requiring further investigation are also discussed. (C) 2000 Elsevier Science B.V. All rights reserved.
By personal inventory decisions we mean the decisions on quantity purchased which are made daily in such activities as grocery shopping. This topic has previously been introduced only at the conceptual level. Hence ou...
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By personal inventory decisions we mean the decisions on quantity purchased which are made daily in such activities as grocery shopping. This topic has previously been introduced only at the conceptual level. Hence our main purpose is to provide a quantitative discussion. Some specific models are pursued to solution. Surprisingly, a conjoint value function aggregator leads to indifference in replenishment quantity. Contrasts to the EOQ assumptions are highlighted.
A solution is provided to automatically identify river reaches based on their planform typologies via a holistic synthesis of multi-dimensional, quali-quantitative information. Inspired by fuzzy logics, an algorithm i...
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A solution is provided to automatically identify river reaches based on their planform typologies via a holistic synthesis of multi-dimensional, quali-quantitative information. Inspired by fuzzy logics, an algorithm is proposed which appraises the degree of fit of a range of archetypes based on formal criteria, applied over a discretized version of the river. The algorithm is fed by the values of a set of indicators relevant to the formal criteria. Indicators are determined from interpretation of remotely sensed data for each discrete "slice". To ensure a spatially holistic view, the local indicators are first integrated over a variable significant length, thereby guaranteeing contextualization at the appropriate scale. For each indicator a specific value Function (VF) translates its objective value into a partial fitness judgment;these judgments are then integrated within a multiattribute VF. The locally highest scoring VF determines the corresponding planform choice in each slice. As a by-product, the stretch (collection of consecutive slices) corresponding to that planform archetype is identified. Implementation of the algorithm for the Baker River in Chile shows promising results. The approach ensures self-consistency and repeatability of outputs. Beyond an initial subjective assessment of input criteria based on expert judgment, the method can be fully automated. As such it can support systematic, large scale river analyses and monitoring applications. (C) 2020 Elsevier B.V. All rights reserved.
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