Shouzhen Zeng

TL;DR: A new method for Pythagorean fuzzy multiple-criteria decision-making (MCDM) problems with aggregation operators and distance measures with the main advantage that it uses distance measures in a unified framework between the ordered weighted averaging (OWA) operator and weighted average (WA) that considers the degree of importance of each concept in the aggregation.

TL;DR: This paper considers the situation with intuitionistic fuzzy information and develops an intuistic fuzzy ordered weighted distance (IFOWD) operator, which is very suitable to deal with the situations where the input data are represented in intuitionism fuzzy information.

TL;DR: The uncertain probabilistic ordered weighted averaging distance (UPOWAD) operator is presented, which uses distance measures in a unified framework between the probability and the OWA operator that considers the degree of importance of each concept in the aggregation.

TL;DR: New linguistic aggregation operators in order to develop more efficient decision making systems are introduced, including the linguistic probabilistic weighted average (LPWA), which considers subjective and objective information in the same formulation.

TL;DR: A new method to derive the weights of experts and rank the preference order of alternatives based on projection models and extends the developed model and algorithm to the multiple attribute group decision making problems with interval-valued intuitionistic fuzzy information.