@Article{cmes.2022.020598,
AUTHOR = {Xiaoyun Lu, Jiuying Dong, Hecheng Li, Shuping Wan},
TITLE = {Group Decision-Making Method with Incomplete Intuitionistic Fuzzy Preference Relations Based on a Generalized Multiplicative Consistent Concept},
JOURNAL = {Computer Modeling in Engineering \& Sciences},
VOLUME = {132},
YEAR = {2022},
NUMBER = {3},
PAGES = {881--907},
URL = {http://www.techscience.com/CMES/v132n3/48685},
ISSN = {1526-1506},
ABSTRACT = {Based on the analyses of existing preference group decision-making (PGDM) methods with intuitionistic fuzzy
preference relations (IFPRs), we present a new PGDM framework with incomplete IFPRs. A generalized multiplicative consistent for IFPRs is defined, and a mathematical programming model is constructed to supplement
the missing values in incomplete IFPRs. Moreover, in this study, another mathematical programming model is
constructed to improve the consistency level of unacceptably multiplicative consistent IFPRs. For group decisionmaking (GDM) with incomplete IFPRs, three reliable sources inuencing the weights of experts are identified. Subsequently, a method for determining the weights of experts is developed by simultaneously considering three
reliable sources. Furthermore, a targeted consensus process (CPR) is developed in this study with reference to
the actual situation of the consensus level of each IFPR. Meanwhile, in response to the proposed multiplicative
consistency definition , a novel method for determining the optimal priority weights of alternatives is redefined.
Lastly, based on the above theory, a novel GDM method with incomplete IFPRs is developed, and the comparative
and sensitivity analysis results demonstrate the utility and superiority of this work.},
DOI = {10.32604/cmes.2022.020598}
}