The problem of selection breakthrough inventions to be commercialized (SBIC) is significantly important for innovative enterprises. As the processes commercializing are time-consuming and high-cost, enterprises have tradeoff among all possible determine which should commercialized. SBIC refers a process in multiple experts invited evaluate potential from aspects based on their assessments, chos...

In this paper, we investigate the multiple attribute group decision making (MAGDM) problems for for evaluating the computer network security with linguistic information. We utilize the pure linguistic weighted arithmetic averaging (PLWAA) operator to aggregate the linguistic information corresponding to each alternative and get the overall value of the alternatives, then rank the alternatives a...

The English classroom teaching effect evaluation is looked as the multiattribute group decision-making (MAGDM). Thus, a useful MAGDM algorithm needed to cope with it. Depending on classical GRA process and interval-valued IFSs (IVIFSs), this study builds IVIF-GRA assess effect. First of all, concepts IVIFSs are reviewed. In addition, weights criteria derived through CRITIC method. Afterwards, m...

Multi-granularity unbalanced hesitant fuzzy linguistic term set (MGUHFLTS) is an effective expression of information, which applied in multi-attribute group decision-making (MAGDM), meanwhile Dempster-Shafer evidence theory (DSET) profound method representing and aggregating uncertain information. In order to combine the advantages from both, a new MAGDM approach based on with MGUHFLTSs propose...

The selection of a pharmaceutical e-commerce platform is typical multi-attribute group decision-making (MAGDM) problem. MAGDM common problem in the field decision-making, which full uncertainty and fuzziness. A probabilistic hesitant fuzzy method based on generalized TODIM proposed for under an uncertain environment. Firstly, credibility element defined, credibility-based adjusting weights deci...

Generalized trapezoidal fuzzy numbers (GTFNs) have been widely applied in uncertain decision-making problems. The similarity between GTFNs plays an important part in solving such problems, while there are some limitations in existing similarity measure methods. Thus, based on the cosine similarity, a novel similarity measure of GTFNs is developed which is combined with the concepts of geometric...

In this paper, we investigate the multiple attribute group decision making (MAGDM) problems for for evaluating the information security risk with intuitionistic fuzzy information. We utilize the induced intuitionistic fuzzy ordered weighted averaging (I-IFOWA) operator and intuitionistic fuzzy weighted averaging (IFWA) operator to aggregate the intuitionistic fuzzy information corresponding to ...

Multiple attributes group decision making (MAGDM) is regarded as the process of determining the best feasible solution by a group of experts or decision makers according to the attributes that represent different effects. In assessing the performance of each alternative with respect to each attribute and the relative importance of the selected attributes, quantitative/qualitative evaluations ar...

Muirhead mean (MM) is a well-known aggregation operator which can consider interrelationships among any number of arguments assigned by a variable vector. Besides, it is a universal operator since it can contain other general operators by assigning some special parameter values. However, the MM can only process the crisp numbers. Inspired by the MM' advantages, the aim of this paper is to exten...