Multicriteria decision making with fuzziness and criteria interdependence in cloud service selection

With the advent of Cloud computing and subsequent big data, online decision makers usually find it difficult to make informed decisions because of the great amount of irrelevant, uncertain, or inaccurate information. In this paper, we explore the application of multicriteria decision-making (MCDM) t...

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Main Authors: Le, S., Dong, Hai, Hussain, F., Hussain, O., Ma, J., Zhang, Y.
Format: Conference Paper
Published: Institute of Electrical and Electronics Engineers Inc. 2014
Online Access:http://hdl.handle.net/20.500.11937/27231
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author Le, S.
Dong, Hai
Hussain, F.
Hussain, O.
Ma, J.
Zhang, Y.
author_facet Le, S.
Dong, Hai
Hussain, F.
Hussain, O.
Ma, J.
Zhang, Y.
author_sort Le, S.
building Curtin Institutional Repository
collection Online Access
description With the advent of Cloud computing and subsequent big data, online decision makers usually find it difficult to make informed decisions because of the great amount of irrelevant, uncertain, or inaccurate information. In this paper, we explore the application of multicriteria decision-making (MCDM) techniques in the area of Cloud computing and big data, to find an efficient way of dealing with criteria relations and fuzzy knowledge based on a great deal of information. We propose a MCDM framework, which combines the ISM-based and ANP-based techniques, to model the interactive relations between evaluation criteria, and to handle data uncertainties. We present an application of Cloud service selection to prove the efficiency of the proposed framework, in which a user-oriented sigmoid utility function is designed to evaluate the performance of each criterion.
first_indexed 2025-11-14T08:04:56Z
format Conference Paper
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institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T08:04:56Z
publishDate 2014
publisher Institute of Electrical and Electronics Engineers Inc.
recordtype eprints
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spelling curtin-20.500.11937-272312017-09-13T15:32:26Z Multicriteria decision making with fuzziness and criteria interdependence in cloud service selection Le, S. Dong, Hai Hussain, F. Hussain, O. Ma, J. Zhang, Y. With the advent of Cloud computing and subsequent big data, online decision makers usually find it difficult to make informed decisions because of the great amount of irrelevant, uncertain, or inaccurate information. In this paper, we explore the application of multicriteria decision-making (MCDM) techniques in the area of Cloud computing and big data, to find an efficient way of dealing with criteria relations and fuzzy knowledge based on a great deal of information. We propose a MCDM framework, which combines the ISM-based and ANP-based techniques, to model the interactive relations between evaluation criteria, and to handle data uncertainties. We present an application of Cloud service selection to prove the efficiency of the proposed framework, in which a user-oriented sigmoid utility function is designed to evaluate the performance of each criterion. 2014 Conference Paper http://hdl.handle.net/20.500.11937/27231 10.1109/FUZZ-IEEE.2014.6891892 Institute of Electrical and Electronics Engineers Inc. restricted
spellingShingle Le, S.
Dong, Hai
Hussain, F.
Hussain, O.
Ma, J.
Zhang, Y.
Multicriteria decision making with fuzziness and criteria interdependence in cloud service selection
title Multicriteria decision making with fuzziness and criteria interdependence in cloud service selection
title_full Multicriteria decision making with fuzziness and criteria interdependence in cloud service selection
title_fullStr Multicriteria decision making with fuzziness and criteria interdependence in cloud service selection
title_full_unstemmed Multicriteria decision making with fuzziness and criteria interdependence in cloud service selection
title_short Multicriteria decision making with fuzziness and criteria interdependence in cloud service selection
title_sort multicriteria decision making with fuzziness and criteria interdependence in cloud service selection
url http://hdl.handle.net/20.500.11937/27231