Modeling fuzzy data with RDF and fuzzy relational database models
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.21996
Abstract: The Resource Description Framework (RDF) is a flexible model for representing information about resources on the Web. As a World Wide Web Consortium recommendation, RDF has rapidly gained popularity. With the widespread acceptance of RDF… read more here.
Keywords: fuzzy data; rdf; modeling fuzzy; fuzzy rdf ... See more keywords
Development of intuitionistic fuzzy data envelopment analysis models and intuitionistic fuzzy input–output targets
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DOI: 10.1007/s00500-018-3504-3
Abstract: In this paper, we develop intuitionistic fuzzy data envelopment analysis (IFDEA) and dual IFDEA (DIFDEA) models based on $$\alpha $$α- and $$\beta $$β-cuts. We determine intuitionistic fuzzy (IF) efficiencies based on $$\alpha $$α- and $$\beta… read more here.
Keywords: input output; intuitionistic fuzzy; fuzzy data; envelopment analysis ... See more keywords
The role of multiplier bounds in fuzzy data envelopment analysis
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DOI: 10.1007/s10479-017-2404-8
Abstract: The non-Archimedean epsilon $$\varepsilon $$ε is commonly considered as a lower bound for the dual input weights and output weights in multiplier data envelopment analysis (DEA) models. The amount of $$\varepsilon $$ε can be effectively… read more here.
Keywords: fuzzy data; envelopment analysis; weakly efficient; data envelopment ... See more keywords
A New Decision-Making GMDH Neural Network: Effective for Limited and Fuzzy Data
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DOI: 10.1155/2022/2133712
Abstract: This paper presents a new approach to solve multi-objective decision-making (DM) problems based on neural networks (NN). The utility evaluation function is estimated using the proposed group method of data handling (GMDH) NN. A series… read more here.
Keywords: limited fuzzy; new decision; fuzzy data; decision making ... See more keywords
A modification on 'ranking DMUs by L 1 -norm' and introducing a novel ranking method by Tchebycheff norm with fuzzy data in DEA
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Operational Research"
DOI: 10.1504/ijor.2017.10003484
Abstract: Jahanshahloo et al. (2009) proposed a ranking model to efficient decision-making units (DMUs) including fuzzy data. The aforementioned method is based on L1-norm measure combined with the weighted signed distance between two fuzzy numbers. Firstly,… read more here.
Keywords: tchebycheff norm; fuzzy data; dea; method ... See more keywords
Flexible resampling for fuzzy data
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Applied Mathematics and Computer Science"
DOI: 10.34768/amcs-2020-0022
Abstract: Abstract In this paper, a new methodology for simulating bootstrap samples of fuzzy numbers is proposed. Unlike the classical bootstrap, it allows enriching a resampling scheme with values from outside the initial sample. Although a… read more here.
Keywords: sample; methodology; resampling fuzzy; fuzzy data ... See more keywords