A nonlinear compromise scheme in multicriteria evaluation and optimization problems
Cybernetics and Systems Analysis, ISSN: 1060-0396, Vol: 45, Issue: 4, Page: 597-604
2009
- 7Citations
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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.
Metrics Details
- Citations7
- Citation Indexes7
- CrossRef3
Article Description
The concept of a nonlinear compromise scheme in multicriteria problems of evaluation and optimization is presented. It is shown that the problem is to approximate correctly the utility function and construct a substantial mathematical model (scalar convolution) adequate to the given situation to solve various multicriteria problems. In analysis problems, this convolution is an objective function. Its extremization results in a compromise-optimal vector of arguments. An illustrative example is given. © 2009 Springer Science+Business Media, Inc.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=70449528410&origin=inward; http://dx.doi.org/10.1007/s10559-009-9127-z; http://link.springer.com/10.1007/s10559-009-9127-z; http://link.springer.com/content/pdf/10.1007/s10559-009-9127-z; http://link.springer.com/content/pdf/10.1007/s10559-009-9127-z.pdf; http://link.springer.com/article/10.1007/s10559-009-9127-z/fulltext.html; https://dx.doi.org/10.1007/s10559-009-9127-z; https://link.springer.com/article/10.1007/s10559-009-9127-z; http://www.springerlink.com/index/10.1007/s10559-009-9127-z; http://www.springerlink.com/index/pdf/10.1007/s10559-009-9127-z
Springer Science and Business Media LLC
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