Pythagorean fuzzy sets (PyFSs) are an essential tool for characterizing data in decision-making processes. In contrast to normal structures, PyFSs feature a sum of squares membership grades that is near unit interval, which increases uncertainty. Within environment, we intend build unique operational rules and aggregation operators (AOs) this proposed work. The work presents; notions, rules, pr...

We develop a single-period model for a large economic agent who trades with market makers at their utility indifference prices. We compute the sensitivities of these market indifference prices with respect to the size of the investor’s order. It turns out that the price impact of an order is determined both by the market makers’ joint risk tolerance and by the variation of individual risk toler...

Abstract When we ask a decision maker to express her preferences, it is typically assumedWhen we ask a decision maker to express her preferences, it is typically assumed that we are eliciting a pre-existing set of preferences. However, empirical research has suggested that our preferences are often constructed on the fly for the decision problem at hand. This paper explores the ramifications of...

The linguistic terms used to describe the qualitative data in problems are symmetrical about central word. With increasing complexity and a large number of DMs with different domain expertise involved decision-making, symmetric term set seems constricted. This paper examines multiple-criteria group decision-making which decision-makers use unbalanced 2-tuple alternative–criteria assessments mat...