A decision-theoretic fuzzy rough set in hesitant fuzzy information systems and its application in multi-attribute decision-making

New measures of alliance and conflict for three-way conflict analysis

A novel approach to three-way conflict analysis and resolution with Pythagorean fuzzy information

Triangular fuzzy number (TFN) reflects the membership by the function, which can express decision maker’s (DM’s) information more accurately in the complex decision making problem In complex multi-attribute group decision making (MAGDM), how to rank TFNs and get the best alternative from MAGDM are two important issues Existing ranking methods of TFNs only consider the minimum value, the maximum value and the most likely value, which ignores the other possible values To avoid the limitation, the preference degree of TFNs is defined combining the probability with possibility of TFN, which considers all the possible values in TFN Then a preference degree based algorithm is designed to rank TFNs Furthermore, the triangular fuzzy MAGDM is investigated Considering the group consensus of DMs, the attitude-based individual consensus index of DM is defined and applied to determine DMs’ weights The attribute weights are obtained by the comprehensive utility ratings of alternatives with a control parameter Thus, a new method is proposed to solve triangular fuzzy MAGDM problem Finally, a public experience evaluation in new smart city is applied to illustrate the effectiveness of the proposed MAGDM method

Guangming Lang

Papers

Conflict analysis based on three-way decision for triangular fuzzy information systems