A Novel Flow Meter Selection Method Based on Fuzzy Multiple Criteria Decision-Making

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Abstract:

Decision making can be defined as the selection process of the best cases from the alternatives in order to achieve a goal. Process planning engineers often use their intuition and experience in decision making. Fuzzy set theory has been used since 1970 in decision making process by using human experiences. This paper presents a new approach in the selection method for a Suitable flow meter based on fuzzy set theory for the industrial and automation process. The technical parameters such as turn down ration, power loss, accuracy, installation considerations and etc. with economic aspects, environmental effects, and safety considerations are established with field and laboratory tests together with the determination of other qualitative variables too. Classical method for flow meter selections generally produce a complex situation and take a long period of time. But new proposed method for flow meter selection has enabled users and suppliers to decide more quickly, easily and sensitively.

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Periodical:

Advanced Materials Research (Volumes 403-408)

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3548-3554

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Online since:

November 2011

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] Flow Handbook, Enderess+Hauser AG, CH-4153 Reinach/BL, 2006, ISBN: 3-9520220-4-7.

Google Scholar

[2] Fuzzy multiple criteria decision making: Recent developments, Christer Carlsson, Robert Full_er, Fuzzy Sets and Systems, 78(1996) 139-153.

DOI: 10.1016/0165-0114(95)00165-4

Google Scholar

[3] An interactive procedure for linguistic multipleattribute decision making with incomplete weight information, Zeshui Xu, Fuzzy Optimum Decision Making(2007)6: 17–27, Springer Science + Business Media, LLC (2007).

DOI: 10.1007/s10700-006-0022-z

Google Scholar

[4] Application of fuzzy set theory in the selection of underground mining method, A. Karadogan*, A. Kahriman* and U. Ozer*, the Journal of The Southern African Institute of Mining and Metallurgy VOLUME 108 REFEREED PAPER FEBRUARY (2008).

Google Scholar

[5] On the Parameter Optimization of Fuzzy Inference Systems, Erika Martinez Ramirez and Rene V. Mayorga, International Journal of Engineering and Mathematical Sciences, 4: 1 (2008).

Google Scholar