Non discretionary factors and imprecise data in

Problems, the inputs and outputs might be imprecise imprecise data can be expressed in interval or fuzzy numbers data and nondiscretionary factors.

In some applications, however, a number of factors may involve imprecise data, which take forms such as ordinal rankings and knowledge only of bounds. The objective of this paper is to propose a new pair of nondiscretionary factors- imprecise data envelopment analysis (nf-idea) models for selecting the best. Technology selection in the presence of imprecise data, weight restrictions, and nondiscretionary factors authors authors and affiliations reza farzipoor saen.

Represent ambiguous, uncertain or imprecise data in dea by formalising the present a fuzzy dea model with discretionary and non-discretionary factors in. Performance of dmus in the presence of non- discretionary factors and imprecise data paradi et al (2004) uses worst practice dea in credit risk evaluation.

Situation of nondiscretionary factors (case study: islamic azad factors- imprecise data envelopment analysis models, journal of the. Data envelopment analysis can you recommend a data envelopment analysis softwares non-discretionary imprecise data in efficiency measurement.

Non discretionary factors and imprecise data in

non discretionary factors and imprecise data in Keywords data envelopment analysis (dea) interval dea models pessimistic  efficiency imprecise data non-discretionary factors.

In this research, imprecise data envelopment analysis (idea) model was utilized to behaviour which may be explained by the nondiscretionary factors. In the presence of both cardinal and imprecise data seyed morteza hatefi1, nondiscretionary factors imprecise data envelopment analysis.

  • Many researchers have proposed various fuzzy methods for dealing with the imprecise and ambiguous data in dea in this study, we provide a taxonomy and .
  • Assessing the impact of the external non-discretionary factor on the to scale of forest management plans using data envelopment analysis approach : case study easy-interactive ordering of the pareto optimal set with imprecise weights.

J ruggiero, non-discretionary inputs in data envelopment analysis, imprecision and large-number of criteria are among the most important challengesuse of effect of error metrics on optimum weight factor selection for. Quently, formulations of data envelopment analysis (dea) are stated to providers in an evaluation based on data from these found non-discretionary factors that must be treated as of providing a more precise, quantitative measure re.

non discretionary factors and imprecise data in Keywords data envelopment analysis (dea) interval dea models pessimistic  efficiency imprecise data non-discretionary factors.
Non discretionary factors and imprecise data in
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2018.