Social Multi-Criteria Evaluation for a Sustainable Economy

Munda, Giuseppe

doi:10.1007/978-3-540-73703-2

Cited by 302 publications

(269 citation statements)

References 97 publications

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“…This is an approach that literature has widely adopted to deal with the problems related to territorial planning ), but that we deemed suitable for the problem under study, characterized by a complexity of stakeholders involved and different scenarios, with not only the phytosanitary impacts but also the economic, social and environmental ones. Literature shows few studies carried out in the agriculture field that have adopted the SMCEbased tools (Panell and Glenn 2000;Vargas Isaza 2005;Siciliano 2009), while more are the articles that used the SMCE to solve problems bound to the management of water resources and environmental resources, in general, and sustainability, climate and energy politics (De Marchi et al 2000;Munda 2007;Russi 2005, 2008;Munaretto et al 2014).…”

Section: Methodsmentioning

confidence: 99%

Multi-criteria evaluation model to face phytosanitary emergencies: The case of citrus fruits farming in Italy

Scuderi¹,

Sturiale²

2016

AGR ECON-CZECH

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Abstract:In the last decade, citrus fruits farming, at the international level, revealed an upward trend changing the traditional scenarios of the off er, with the exchange of products coming from all areas of the world, thanks to the progressive abrogation of fare barriers. Th e material exchange is causing spreading of diseases that have caused a severe damage, such as the epidemics and culture extinctions with a high economic, health, environmental and social impact. In such a context, the defi nition of possible methods to face the emergencies is absolutely necessary. Th is research suggests the adoption of an evaluation model for phytosanitary emergencies (Citrus Tristeza Virus -CTV), a model that is sustainable from the economic, social, biotic and phytosanitary perspective. It is based on an integrated model that considers the application of a participatory planning technique and of an evaluation method included among the tools of the Social Multi-Criteria Evaluation (SMCE). Th e results highlighted that the hypothesis 1 "cohabitation with the Citrus Tristeza virus" is the predominant hypothesis, followed at short distance by the hypothesis 2 "total eradication and re-implantation", while the hypothesis 3 "abandonment or extirpation" gained a marginal meaning. It was possible to assert that the hypothesis 1 was the one that presented the highest sustainability.

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Section: Methodsmentioning

confidence: 99%

Multi-criteria evaluation model to face phytosanitary emergencies: The case of citrus fruits farming in Italy

Scuderi¹,

Sturiale²

2016

AGR ECON-CZECH

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“…Integrated evaluations not only consider the inputs of data expressing the impacts of different solutions, but are also "open" to a wide public participation, so that they can offer more information for the evaluation itself and, in addition, can make the decisionmaking processes and the results more acceptable (Golub, 1997;Munda, 2008 Other relevant tools that could be useful to consider are those covering the possibility of combining Multi-Criteria Analysis and Multi-Groups Analysis with Geographical Information Systems (GIS), Internet Technology, Spatial Decision Support Systems, Cellular Automata Models. Integration of differing evaluation models with GIS (Malczewski, 1999) becomes decidedly important in the construction of a Spatial Decision Support System: a variety of territorial information (social, economic and environmental) may be easily combined and related to the characteristics of the different options of territorial use, facilitating the construction of appropriate indicators and improving impacts forecasting, leading up to a preference priority list of the various options.…”

Section: Multi-methodological Framework In Decision Support Systemsmentioning

confidence: 99%

Integrated Spatial Assessment (ISA): A Multi-Methodological Approach for Planning Choices

Cerreta¹,

Toro²

2012

Advances in Spatial Planning

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In decision-making processes for urban planning and design, evaluation can be considered a relevant tool to build choices, to recognize values, interests and needs, and to explore the different aspects that can influence decisions. Evaluation can be considered a process to integrate approaches, methods and models, able to support the different needs of the decision-making process itself. According to Trochim and Donnelly (2006), it is possible to define a planning-evaluation cycle with various phases requested by both planners and evaluators. The first phase of such a cycle, the so-called planning phase, is designed in order to elaborate a set of potential actions, programs, or technologies, and select the best ones for implementation. The main stages are related to (1) the formulation of the problem, issue, or concern; (2) the broad conceptualization of the main alternatives to be considered; (3) the detailing of these alternatives and their potential implications; (4) the evaluation of the alternatives and the selection of the preferable one; and (5) the implementation of the selected alternative. These stages are considered inherent to planning, but they need a relevant evaluation work, useful in conceptualization and detailing, and in assessing alternatives and making a choice of the preferable one. The evaluation phase also involves a sequence of stages that includes: (1) the formulation of the major goals and objectives; (2) the conceptualization and operationalization of the major components of the evaluation (program, participants, setting, criteria, measures, etc.); (3) the design of the evaluation, detailing how these components will be coordinated; the analysis of the information, both qualitative and quantitative; and (4) the utilization of the evaluation results. Indeed, evaluation is intrinsic to all types of decision-making and can take different meanings and roles within decision-making processes, especially if it is related to spatial planning (Alexander, 2006). ”Evaluation in planning” or ”evaluation within planning” seems to better interpret the concept of planning-evaluation proposed by Lichfield (1996) where the binomial name makes explicit the close interaction and reciprocal framing of evaluation and planning: evaluation is conceived as deeply embedded in planning, affecting planning, and evolving with it (Cerreta, 2010). Indeed, the evolution of evaluation methods reflects their evolving relationship with the planning process and the way in which they interact with the diversity and multiplicity of domains and values. To identify an analytic and evaluative structure able to integrate different purposes and multidimensional values within the decision-making processes means to develop evaluation frameworks not focusing only on the environmental, social and economic effects of different options, but also considering the nature of the stakes, selecting priorities and values in a multidimensional perspective. It is crucial to structure complex decision-making processes oriented to an integrated...

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“…Such functions might be linear or nonlinear, defined by weighting coefficients or by reference points in a criteria space. So far, multi-criteria analysis has been successfully applied to solve many real-life problems: in environmental protection, [26]; sociology, [7]; economics, [16]; and others. Moreover, multi-criteria decision-making methods have also been applied in Internet commerce [11], evaluating the quality of articles in Wikipedia [23], and optimizing multicast communication [27].…”

Section: Related Work 31 Multi-criteria Optimizationmentioning

confidence: 99%

Application of Multi-Criteria Analysis Based on Individual Psychological Profile for Recommender Systems

Rafalak

Granat²,

Wierzbicki³

2016

csci

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This paper presents a novel approach for user classification exploiting multicriteria analysis. This method is based on measuring the distance between an observation and its respective Pareto front. The obtained results show that the combination of the standard KNN classification and the distance from Pareto fronts gives satisfactory classification accuracy -higher than the accuracy obtained for each of these methods applied separately. Conclusions from this study may be applied in recommender systems where the proposed method can be implemented as the part of the collaborative filtering algorithm.

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Social Multi-Criteria Evaluation for a Sustainable Economy

Cited by 302 publications

References 97 publications

Multi-criteria evaluation model to face phytosanitary emergencies: The case of citrus fruits farming in Italy

Multi-criteria evaluation model to face phytosanitary emergencies: The case of citrus fruits farming in Italy

Integrated Spatial Assessment (ISA): A Multi-Methodological Approach for Planning Choices

Application of Multi-Criteria Analysis Based on Individual Psychological Profile for Recommender Systems

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