2018
DOI: 10.1155/2018/5691905
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Grey Relational Bidirectional Projection Method for Multicriteria Decision Making with Hesitant Intuitionistic Fuzzy Linguistic Information

Abstract: We investigate a novel approach for multicriteria decision making (MCDM) with hesitant intuitionistic fuzzy linguistic information. To compare the hesitant intuitionistic fuzzy linguistic term sets (HIFLTSs), we propose a comparison method of HIFLTSs. A family of distance measures of HIFLTSs is developed. After that, we propose the grey relational bidirectional projection method based on the proposed comparison method and distance measures of IVHFLNs for dealing with MCDM problems. Furthermore, we establish a … Show more

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Cited by 11 publications
(10 citation statements)
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“…In the future, works concerning q-ROFSs could focus on dealing with other kinds of decision-making problems such as: staff selection, investment selection, machine selection, project selection, manufacturing systems, etc. [52][53][54][55][56][57][58][59].…”
Section: Discussionmentioning
confidence: 99%
“…In the future, works concerning q-ROFSs could focus on dealing with other kinds of decision-making problems such as: staff selection, investment selection, machine selection, project selection, manufacturing systems, etc. [52][53][54][55][56][57][58][59].…”
Section: Discussionmentioning
confidence: 99%
“…Therefore, (22), as shown at the top of this page, holds. Thereafter, (23), as shown at the top of the next page, holds.…”
Section: A the Dhpfhm Aggregation Operatormentioning
confidence: 94%
“…Zhai et al [21] defined the probabilistic interval-valued intuitionistic hesitant fuzzy sets and studied the distance and similarity measures of them. Based on the grey relational methods, the bidirectional projection and hesitant intuitionistic fuzzy linguistic information, Zang et al [22] developed a new approach to solve MADM problems. Yu et al [23] presented some aggregation operators to fuse intuitionistic uncertain 2-tuple linguistic variables and applied them to MADM with heterogeneous relationship among attributes.…”
Section: Introductionmentioning
confidence: 99%
“…GRA effectively handles tiny sets of data, as well as grey values, and produces optimal results (Ikram et al, 2021 ). The work is significant both conceptually and practically, particularly for data analysts concerned with the ambiguous linkages between diverse data arrays in general and grey systems analysts (Zang et al, 2018 ). In this study, we employed a novel approach called Grey Relation Analysis (GRA) to analyze our dataset.…”
Section: Methodsmentioning
confidence: 99%