Ranking fuzzy numbers with index of optimism
Fuzzy Sets and Systems
Criteria for evaluating fuzzy ranking methods
Fuzzy Sets and Systems
Ranking fuzzy numbers with integral value
Fuzzy Sets and Systems
Interdependence in fuzzy multiple objective programming
Fuzzy Sets and Systems
Fuzzy multiple criteria decision making: recent developments
Fuzzy Sets and Systems - Special issue on fuzzy multiple criteria decision making
Fuzzy set theory—and its applications (3rd ed.)
Fuzzy set theory—and its applications (3rd ed.)
Reasonable properties for the ordering of fuzzy quantities (II)
Fuzzy Sets and Systems
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Fuzzy Multiple Attribute Decision Making: Methods and Applications
Fuzzy Multiple Attribute Decision Making: Methods and Applications
Fuzzy Sets and Systems - Special issue: Soft decision analysis
Fuzzy Optimization and Decision Making
Environmental Modelling & Software
Environmental Modelling & Software
Intelligent control aeration and external carbon addition for improving nitrogen removal
Environmental Modelling & Software
Automatic identification of oil spills on satellite images
Environmental Modelling & Software
Fuzzy filtering for robust bioconcentration factor modelling
Environmental Modelling & Software
A top-down framework for watershed model evaluation and selection under uncertainty
Environmental Modelling & Software
Environmental Modelling & Software
Fuzzy modelling of the composting process
Environmental Modelling & Software
Measuring biodiversity performance: A conditional efficiency measurement approach
Environmental Modelling & Software
Monitoring environmental efficiency: An application to Italian provinces
Environmental Modelling & Software
A group agreement-based approach for decision making in environmental issues
Environmental Modelling & Software
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This study introduces a methodological framework for environmental performance assessment of waste recycling programs. We develop two categories of indicators: the efficiency indicators that compare the environmental achievements of a program with the required expenditures (benefits per unit cost), and the effectiveness indicators that compare the environmental benefits of a program with the amount of generated wastes (benefits per unit waste). Aggregation of these indicators, in relation with their associated criticalities, will give us a number of environmental performance indices to represent the status of the environmental performance. This score-based assessment has two major advantages: it takes complex scientific information and synthesizes it in a way that makes it easily understandable for non-experts while in comparison with other environmental performance assessment methods it is not computationally intensive. In this aggregation, the importance values (criticalities) are often expert based uncertain judgments, which are defined according to the objective of performance assessment. Therefore, a fuzzy multiple attribute analysis can be employed to express these judgments by fuzzy sets and to formulate the weighted aggregation process. For case study, we have investigated the environmental performance of the provincial beverage container recycling programs in Canada, which illustrates the applicability of the proposed methodology.