A reliability based consistent fuzzy preference relations – fuzzy similarity for risk assessment in oil and gas industry

A reliability based consistent fuzzy preference relations – fuzzy similarity for risk assessment in oil and gas industry

In decision making, linguistic variables tend to be complex to handle but they make more sense than classical fuzzy numbers. Fuzziness is not sufficient enough to deal with information and degree of reliability of information is critical. Znumbers is proposed to model the uncertainty produced by hum...

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Bibliographic Details
Main Authors: Ku Muhammad Naim, Ku Khalif, Adam Shariff Adli, Aminuddin, Ahmad Syafadhli, Abu Bakar, Noor Zuraidin, Mohd Safar, Alexander, Gegov
Format: Conference or Workshop Item
Language:English
English
Published: 2019
Subjects:
QA76 Computer software
TP Chemical technology
Online Access:http://umpir.ump.edu.my/id/eprint/26489/1/78.%20A%20reliability%20based%20consistent%20fuzzy%20preference%20relations.pdf
http://umpir.ump.edu.my/id/eprint/26489/2/78.1%20A%20reliability%20based%20consistent%20fuzzy%20preference%20relations.pdf
http://umpir.ump.edu.my/id/eprint/26489/
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Institution: Universiti Malaysia Pahang
Language: English
English

Internet

http://umpir.ump.edu.my/id/eprint/26489/1/78.%20A%20reliability%20based%20consistent%20fuzzy%20preference%20relations.pdf
http://umpir.ump.edu.my/id/eprint/26489/2/78.1%20A%20reliability%20based%20consistent%20fuzzy%20preference%20relations.pdf
http://umpir.ump.edu.my/id/eprint/26489/

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