Preference relations as information representation form are widely used to manage
complexity and uncertainty in practical decision-making cases. Intuitionistic trapezoidal fuzzy …

Triangular intuitionistic fuzzy numbers (TIFNs) is one of the useful tools to manage the
fuzziness and vagueness in expressing decision data and solving decision making …

The strategy production in intuitionistic fuzzy multi-attribute decision-making is influenced by
various factors. More realistic data representations are needed to portray ambiguity under …

Intuitionistic fuzzy numbers possess the ability to model the bipolarity of practical objects and
phenomena. The positive and negative opinions of decision makers (DMs) could be …

Intuitionistic fuzzy preference relations (IFPRs) have the natural ability to reflect the positive,
the negative and the non-determinative judgements of decision makers. A decision making …

Intuitionistic fuzzy preference relations are powerful techniques used to express uncertain
preference information. However, simultaneously providing the exact priority and nonpriority …

The aim of this paper is to develop a method for ranking trapezoidal intuitionistic fuzzy
numbers (TrIFNs) in the process of decision making in the intuitionistic fuzzy environment …

Deriving the priority vectors of the alternatives by preference relations is a vital research
topic for decision making with preference information. In this paper, a novel method is …

In this paper, we present the concept of intuitionistic fuzzy possibility degree (IFPD) for
ranking interval-valued fuzzy numbers. This method overcomes the shortcomings of the …

During the decision-making process, evaluation information may be given in different
formats based on the decision makers' research fields or personal customs. To address the …