Mediative Fuzzy Extension Technique and Its Consistent Measurement in the Decision Making of Medical Application
The notion of fuzzy set theory has not so far been districted over medical diagnosis. There are some added applications, for example, in image processing, pattern identification, and many medical devices. In this research article, we introduced a new mediative fuzzy ranking technique as the fuzzy ex...
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Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2021/5530681 |
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doaj-c3e1c8417fd54d3cbc2e1b985f3b8cf12021-05-10T00:26:14ZengHindawi LimitedMathematical Problems in Engineering1563-51472021-01-01202110.1155/2021/5530681Mediative Fuzzy Extension Technique and Its Consistent Measurement in the Decision Making of Medical ApplicationM. K. Sharma0Nitesh Dhiman1Lakshmi Narayan Mishra2Vishnu Narayan Mishra3Suresh Kumar Sahani4Department of MathematicsDepartment of MathematicsDepartment of MathematicsDepartment of MathematicsDepartment of MathematicsThe notion of fuzzy set theory has not so far been districted over medical diagnosis. There are some added applications, for example, in image processing, pattern identification, and many medical devices. In this research article, we introduced a new mediative fuzzy ranking technique as the fuzzy extension in decision making. The proposed mediative fuzzy logic-based technique is more relevant and applicable to incomplete and doubtful situations or some contradictions present in the expert knowledge. The value of the contradictory degree for mediative fuzzy sets used in the extension principle is defined. The proposed mediative fuzzy ranking method is easily implemented in the medical field, and the proposed mediative fuzzy extension-based measured technique is useful to medical experts and doctors in many decision-making situations; the entire work is illustrated with numerical examples. We have also given some future aspects of mediative fuzzy extension in the interpretation of type-2 intuitionistic fuzzy sets.http://dx.doi.org/10.1155/2021/5530681 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
M. K. Sharma Nitesh Dhiman Lakshmi Narayan Mishra Vishnu Narayan Mishra Suresh Kumar Sahani |
spellingShingle |
M. K. Sharma Nitesh Dhiman Lakshmi Narayan Mishra Vishnu Narayan Mishra Suresh Kumar Sahani Mediative Fuzzy Extension Technique and Its Consistent Measurement in the Decision Making of Medical Application Mathematical Problems in Engineering |
author_facet |
M. K. Sharma Nitesh Dhiman Lakshmi Narayan Mishra Vishnu Narayan Mishra Suresh Kumar Sahani |
author_sort |
M. K. Sharma |
title |
Mediative Fuzzy Extension Technique and Its Consistent Measurement in the Decision Making of Medical Application |
title_short |
Mediative Fuzzy Extension Technique and Its Consistent Measurement in the Decision Making of Medical Application |
title_full |
Mediative Fuzzy Extension Technique and Its Consistent Measurement in the Decision Making of Medical Application |
title_fullStr |
Mediative Fuzzy Extension Technique and Its Consistent Measurement in the Decision Making of Medical Application |
title_full_unstemmed |
Mediative Fuzzy Extension Technique and Its Consistent Measurement in the Decision Making of Medical Application |
title_sort |
mediative fuzzy extension technique and its consistent measurement in the decision making of medical application |
publisher |
Hindawi Limited |
series |
Mathematical Problems in Engineering |
issn |
1563-5147 |
publishDate |
2021-01-01 |
description |
The notion of fuzzy set theory has not so far been districted over medical diagnosis. There are some added applications, for example, in image processing, pattern identification, and many medical devices. In this research article, we introduced a new mediative fuzzy ranking technique as the fuzzy extension in decision making. The proposed mediative fuzzy logic-based technique is more relevant and applicable to incomplete and doubtful situations or some contradictions present in the expert knowledge. The value of the contradictory degree for mediative fuzzy sets used in the extension principle is defined. The proposed mediative fuzzy ranking method is easily implemented in the medical field, and the proposed mediative fuzzy extension-based measured technique is useful to medical experts and doctors in many decision-making situations; the entire work is illustrated with numerical examples. We have also given some future aspects of mediative fuzzy extension in the interpretation of type-2 intuitionistic fuzzy sets. |
url |
http://dx.doi.org/10.1155/2021/5530681 |
work_keys_str_mv |
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