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|a TXAM
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|a Hosseinzadeh Lotfi, Farhad,
|d 1967-
|e author.
|1 https://id.oclc.org/worldcat/entity/E39PCjyDf7FxqWxXKRxDMkgwcq
|1 https://isni.org/isni/000000050155917X
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| 245 |
1 |
0 |
|a Uncertainty in data envelopment analysis :
|b fuzzy and belief degree-based uncertainties /
|c Farhad Hosseinzadeh Lotfi, Masoud Sanei, Ali Asghar Hosseinzadeh, Sadegh Niroomand, Ali Mahmoodirad.
|
| 264 |
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1 |
|a London, United Kingdom ;
|a San Diego, CA :
|b Academic Press,
|c [2023]
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| 300 |
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|a 1 online resource.
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|a Uncertainty, computational techniques, and decision intelligence
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| 504 |
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|a Includes bibliographical references and index.
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| 588 |
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|a Description based on online resource; title from digital title page (viewed on September 21, 2023).
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| 520 |
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|a Classical data envelopment analysis (DEA) models use crisp data to measure the inputs and outputs of a given system. In cases such as manufacturing systems, production processes, service systems, etc., the inputs and outputs may be complex and difficult to measure with classical DEA models. Crisp input and output data are fundamentally indispensable in the conventional DEA models. If these models contain complex uncertain data, then they will become more important and practical for decision makers.Uncertainty in Data Envelopment Analysis introduces methods to investigate uncertain data in DEA models, providing a deeper look into two types of uncertain DEA methods, fuzzy DEA and belief degree-based uncertainty DEA, which are based on uncertain measures. These models aim to solve problems encountered by classical data analysis in cases where the inputs and outputs of systems and processes are volatile and complex, making measurement difficult. Introduces methods to deal with uncertain data in DEA models, as a source of information and a reference book for researchers and engineers Presents DEA models that can be used for evaluating the outputs of many reallife systems in social and engineering subjects Provides fresh DEA models for efficiency evaluation from the perspective of imprecise data Applies the fuzzy set and uncertainty theories to DEA to produce a new method of dealing with the empirical data.
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| 532 |
1 |
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|3 EBSCOhost
|a "EBSCO evaluates our products based on the Web Content Accessibility Guidelines (WCAG) and the related Section 508 and EN 301 549 regulations in the US and EU. Most EBSCO products are substantially conformant with WCAG 2.2 level AA." Source: https://connect.ebsco.com/s/article/EBSCO-VPATs?language=en_US. Last accessed April 22, 2025.
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| 650 |
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|a Data envelopment analysis.
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| 650 |
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|a Uncertainty.
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6 |
|a Data envelopment analysis.
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| 650 |
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|a Incertitude.
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| 650 |
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|a Data envelopment analysis
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|a Uncertainty
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|a Electronic books.
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| 700 |
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|a Sanei, Masoud,
|e author.
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|a Hosseinzadeh, Ali Asghar,
|e author.
|
| 700 |
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|a Niroomand, Sadegh,
|e author.
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| 700 |
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|a Mahmoodirad, Ali.,
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| 710 |
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|a ScienceDirect (Online service)
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|i Print version:
|z 032399444X
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|w (OCoLC)1321787643
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|z Connect to the full text of this electronic book
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|a Elsevier ScienceDirect 2026-2027
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|b College Station
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| 998 |
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