Assessing plans and programs for historic centers regeneration: An interactive multicriteria approach
Studies in Fuzziness and Soft Computing, ISSN: 1434-9922, Vol: 305, Page: 151-162
2013
- 3Citations
- 6Captures
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Book Chapter Description
The paper proposes a decision support system (DSS) for definition and implementation of complex policies for globally preserving and valorizing the cultural heritage, in a context of limited financing. The proposed methodology is inspired by the fundamentals of Goal Programming. The multiobjective decision problem is articulated into two phases: the first, aimed at allocating the public financial resources among different kinds of homogeneous actions; the second, aimed at selecting the punctual investments to be financed with the optimal resources assigned to each action during the first stage. In order to find the best compromise solutions, the original multiobjective problem is transformed into a monobjective constrained problem. For this purpose, phase 1 is supported by a linear programming model, while phase 2 by a binary one. The first and the latter are interactive DSS allowing to identify, through a series of iterative steps, the best compromise solution, if it exists. The proposed methodology is applied to a decision problem derived from the "Great Program for the Historic Center of Naples", launched by the Municipality in year 2007 with the aim of triggering a requalification process involving the whole historic center, enrolled in the UNESCO World Heritage List since 1995. © Springer-Verlag Berlin Heidelberg 2013.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84883234523&origin=inward; http://dx.doi.org/10.1007/978-3-642-35635-3_13; https://link.springer.com/10.1007/978-3-642-35635-3_13; https://dx.doi.org/10.1007/978-3-642-35635-3_13; https://link.springer.com/chapter/10.1007/978-3-642-35635-3_13
Springer Science and Business Media LLC
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know