A novel two-sided matching decision method for technological knowledge supplier and demander considering the network collaboration effect

Matching Knowledge Suppliers and Demanders on a Digital Platform: A Novel Method

“…Selecting suitable knowledge matching pairs is an important service that is provided by a knowledge service platform and it is structured conveniently as a typical two-sided matching problem [6]. The two-sided matching decision problem was initially derived from the stable marriage and college admissions problem [7].…”

“…Reference [26] considered the attributes' expected levels from the knowledge suppliers and demanders. Reference [6] developed a matching approach considering the network collaboration effect. Reference [27] proposed an efficient and practical matching decision making method for the matching management of green building technologies' supply and demand based on intuitionistic fuzzy sets (IFS) and considering the interactions among the aspiration criteria.…”

“…According to the weight matching problem solution paradigm, the matching problem is usually transformed into a multi-objective decision problem. Many studies (such as references [6], [26], [28], [31]- [33]) start from this perspective and realize the optimal matching by building a multi-objective decision model based on the maximum matching satisfaction goal. The model that is constructed in this paper is based on these studies.…”

“…Moreover, the determination of the knowledge matching(s) is usually suggested by an intermediary. Similar to references [6], [26], and [28], the knowledge matching problem in this paper can be regarded as a weight matching problem, and the weights are determined by the satisfaction degree of each agent and the benefits of the platform provider. An improved method for knowledge matching on digital platforms is constructed.…”

Premium Power Value-Added Service Product Decision-Making Method Based on Multi-Index Two-Sided Matching

“…In order to consider different linguistic assessments with uncertainty and flexible criteria weight information, a two-sided matching decision-making with multi-granular hesitant fuzzy linguistic term sets and incomplete criteria weight information was developed in [14]. Although two-sided matching decision-making problems have been extensively applied to marriage matching [15][16], person-job matching [17][18], knowledge service matching [19][20], etc., the twosided matching problem in PPVS product decision-making has not been fully investigated. Considering that the uncertainty usually exists when customers and electricity retail companies make a decision, not only real numbers, but also interval numbers, linguistic variables, and fuzzy sets can be used to characterize the evaluation indices.…”