EDAS METHOD FOR MULTIPLE ATTRIBUTE GROUP DECISION MAKING WITH PROBABILISTIC DUAL HESITANT FUZZY INFORMATION AND ITS APPLICATION TO SUPPLIERS SELECTION

Probabilistic dual hesitant fuzzy set (PDHFS) is a more powerful and important tool to describe uncertain information regarded as generalization of (HFS) HFS (DHFS), not only reflects the attitude decision-makers (DMs), but also probability DMs. Score function number weighting method are very in multi-attribute group decision-making (MAGDM) issues. In many environments, score entropy measure have been proposed one after another. Firstly, based on detailed analysis existed PDHF element (PDHFE) with help previous references, we build novel for PDHFE. Secondly, combined built minimum identification principle by fusing Criteria Importance Through Intercriteria Correlation (CRITIC) method. Thirdly, MAGDM approach (PDHF-EDAS) extending evaluation distance from average solution (EDAS) environment solve issue that decision attribute Finally, practicability effectiveness technique verified suppliers selection (SS) comparing existing methods.