Results 161 to 170 of about 9,359,746 (203)

A cubical fuzzy Dubois-Prade aggregation framework for renewable and sustainable green energy decision-making. [PDF]

Sci Rep
Deva K, Sangeetha S, Tolasa FT, Olana JA, Tamune SA.   +4 more
europepmc   +1 more source

Some distance measures for pythagorean cubic fuzzy sets: Application selection in optimal treatment for depression and anxiety. [PDF]

MethodsX
Rahim M, Amin F, Shah K, Abdeljawad T, Ahmad S.   +4 more
europepmc   +1 more source

A bipolar fuzzy decision-making system for assessing high-risk coexisting tuberculosis disease in pregnant women. [PDF]

Heliyon
Natarajan E, Augustin F.
europepmc   +1 more source

Decision support system based on AHP and PROMETHEE under rough pythagorean fuzzy set information for selection of basketball team. [PDF]

Sci Rep
Zhang C, Li G.
europepmc   +1 more source

Significance and classification of AI-driven techniques in telecommunication sectors based on interval-valued bipolar fuzzy soft aggregation operators. [PDF]

Sci Rep
Ahmmad J, Khan MA, Aldayel I, Mahmood T.
europepmc   +1 more source

Optimizing healthcare supply chain capacity planning during disasters using fuzzy AHP and TOPSIS methods. [PDF]

Sci Rep
Ommane Y, Lachgar M, Hanine M, Laanaoui MD, Kaouri S.   +4 more
europepmc   +1 more source

Research on optimization of mining methods for broken ore bodies based on interval-valued pythagorean fuzzy sets and TOPSIS-GRA. [PDF]

Sci Rep
Wu J, Zhao G, Wang N, Xu Y, Wang M.
europepmc   +1 more source

Dynamic nonlinear simplified neutrosophic sets for multiple-attribute group decision making. [PDF]

Heliyon
Qiu J, Jiang L, Fan H, Li P, You C.
europepmc   +1 more source

Role of human collaboration in artificial intelligence with fuzzy based mathematical models and decision making problems. [PDF]

Sci Rep
Wang J.
europepmc   +1 more source

A Linear Ordering on the Class of Trapezoidal Intuitionistic Fuzzy Numbers

Expert Systems With Applications, 2016
A complete ranking on the class of trapezoidal intuitionistic fuzzy numbers is achieved.In this paper our proposed method is compared with all familiar existing methods.Proposed ranking method is the best one when compare with all existing methods.Proposed ranking method is computationally easy to calculate for any TrIFNs.
V. Lakshmana Gomathi Nayagam, S. Jeevaraj, P. Dhanasekaran   +2 more
exaly   +11 more sources