A Linguistic Approach to Structural Analysis in Prospective Studies

Villacorta, Pablo J.; Masegosa, Antonio D.; Castellanos, Dagoberto; Lamata, María Teresa

doi:10.1007/978-3-642-31709-5_16

Cited by 15 publications

(16 citation statements)

References 14 publications

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“…It is a tool that structures collective knowledge and consensus; it requires the participation of a working group made up of experts. Although it is widely used across different areas of study, it is important to mention its shortcomings due to the subjectiveness of the information used in this process, which can cause imprecise results (Villacorta et al 2012). To have enough consensus among experts, there was a special emphasis placed on the role of experts in their organizations, as they were required to have high management positions in their organizations.…”

Section: Methodsmentioning

confidence: 99%

Structural Analysis of Civil Society Organizations (CSO): Developing CSOs’ Organizational Capacities in Mexico

Medina

2017

World Futures Review

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The purpose of this research is to analyze, through quantitative methodology techniques, the organizational capacity of Civil Society Organizations (CSO) in Mexico and their influence on public policy. It will seek to determine CSOs’ main characteristics (internally and externally) to identify the different channels through which they can exercise their influence, specifically in the agenda-setting process and the implementation of their proposals. The final objective of this article is to lead its findings toward public policy recommendations that empower CSOs by means of strengthening their organizational capacities.

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Section: Methodsmentioning

confidence: 99%

Structural Analysis of Civil Society Organizations (CSO): Developing CSOs’ Organizational Capacities in Mexico

Medina

2017

World Futures Review

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“…This scheme uses fixed numerical membership values 0, 0.33, 0.67, and 1.0 to indicate "fully out", "more out than in", "more in than out", and "fully in", respectively [37]. Such a scheme is especially useful for the situations where providers; in environmental trend analysis, for the effectiveness of information system; waste management [43,44]. In this article, the computational inputs to this impact matrix are intended as expert decision support.…”

Section: Transformative Classificationmentioning

confidence: 99%

Complexity and the Sustainable Development Goals: A Computational Intelligence Approach to Support Policy Mix Designs

Türkeli¹

2020

J Sustain Res

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In this article, a 3-step neuro-fuzzy expert decision support system is constructed in order to investigate the multifaceted performance interdependencies among 17 SDG performance scores across 162 UN Member States. The direct influence matrix among 17 SDGs, which would be filled by policy experts in interpretive structural modeling, is instead populated by computational intelligence. Results indicate that, the most influential performance drivers are SDG12 (Sustainable Production and Consumption), SDG 9 (Industry, Innovation and Infrastructure) and SDG 11 (Sustainable Cities and Communities) at global level. Yet these findings highlight the importance of establishing and enhancing local infrastructures and communities, innovative and sustainable supply and demand content to increase overall SDGs performance globally. Performance linkages SDG 5 (Gender Equality) and SDG 13 (Climate Action) are global common denominators across localities for positive evolution of overall SDGs performance. Local policy mixes between performance driver and linkage SDGs are recommended by taking eight dependent SDG performances (SDG 10, 16, 15, 8, 6, 17, 7, 2) into account as action contexts. Four autonomous (less influential) SDG performances (SDG 1, 3, 4, 14) remain to be integrated. Conclusions call for a global unity in diversity, local policy mixes by all cities and communities around the globe.

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“…This method is performed in three steps: definitions of related variables, identification of relationships among the variables, and identification of key variables among the entire set of variables presented by the experts [22]. Definition of the variables related to a system is a complicated process undertaken upon different experts' ideas, brainstorming and library studies [23]. In identifying the relationship between variables, norm values of 0-3 are assigned.…”

Section: Mic-mac Analysismentioning

confidence: 99%

Analysis of the Factors Affecting Changes in Land Cover Patterns in Rural Districts in East of Guilan Province (Iran) for Foresight

Taleshi

Hassan

Sheikhani

2017

Review of Environment and Earth Sciences

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Article HistoryForesight is among the key topics in natural resource protection for sustainability of rural settlement system. In foresight of land cover evolutions, identification of factors affecting the evolutions is of paramount importance. In the present research, in order to undertake foresight and sustainable land planning in rural districts in East of Guilan as a special ecologic zone encompassing 744 villages, principle variables were collected via a questionnaire using Delphi method with the help pf experts, followed by calculation of significance factors. A total of 93 variables were found to affect the changes in land cover within the study area at local, regional and national scales. Among these, key variables were identified utilizing MIC-MAC Software. In order to develop scenarios by a 20-member expert panel, 19 key drivers of the changes in land cover were homogenized and 9 primary descriptor were defined. For each descriptor, three variant qualitative component were prepared, which described all possible cases from the most critical case to the most desired one. In the next stage, with the help of cross-impact balance matrix and Monte Carlo simulations in Scenario Wizard Software, a total of three scenarios with 15-year horizons were obtained based on maximum consistency. Finally, based on the maximal effectiveness on protection of natural land cover and continuation of sustainability, the obtained scenarios were designated as balanced ecologic changes, relatively balanced ecologic changes, and imbalanced ecologic changes.

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A Linguistic Approach to Structural Analysis in Prospective Studies

Cited by 15 publications

References 14 publications

Structural Analysis of Civil Society Organizations (CSO): Developing CSOs’ Organizational Capacities in Mexico

Structural Analysis of Civil Society Organizations (CSO): Developing CSOs’ Organizational Capacities in Mexico

Complexity and the Sustainable Development Goals: A Computational Intelligence Approach to Support Policy Mix Designs

Analysis of the Factors Affecting Changes in Land Cover Patterns in Rural Districts in East of Guilan Province (Iran) for Foresight

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