Abstract We propound the idea of partitioned dual Maclaurin symmetric mean (PDMSM) operator stimulated by mean, suppose that we can partition overall attributes into some portions and are interrelated in same portion, but not different portions. deal with decision-making issues using PDMSM intuitionistic fuzzy environment. also analysis features peculiar instance operator. And, extend to introd...

In this paper, we investigate the multiple attribute decisionmaking (MADM) problems with 2-tuple intuitionistic fuzzylinguistic information. Then, we utilize arithmetic and geometricoperations to develop some 2-tuple intuitionistic fuzzy linguisticaggregation operators. The prominent characteristic of theseproposed operators are studied. Then, we have utilized theseoperators to develop some app...

This study aimed to investigate the perception index of lecturers at Ahmad Dahlan University (UAD), a part Muhammadiyah Higher Education (PTM), regarding ideology. The scope ideology includes Statutes (MADM), characteristics, and Muhammadiyah's Beliefs Ideals Life (MKCHM). utilized quantitative research method, specifically f-type descriptive survey. population this comprised all UAD lecturers,...

In this present paper, we solve a two-dimensional nonlinear Volterra-Fredholm integrodifferential equation by using the following powerful, efficient but simple methods: (i) Modified Adomian decomposition method (MADM), (ii) Variational iteration method (VIM), (iii) Homotopy analysis method (HAM) and (iv) Modified homotopy perturbation method (MHPM). The uniqueness of the solution and the conve...

In this paper, we investigate the multiple attribute decision making (MADM) problems with fuzzy linguistic information. Motivated by the ideal of generalized Bonferroni mean, we develop the generalized fuzzy linguistic Bonferroni Mean (GFLBM) operator for aggregating the fuzzy linguistic information. For the situations where the input arguments have different importance, we then define the gene...