The generalized concepts matter in terms of providing more general structures. Therefore,in this paper a wider structure is obtained by being used together q- Rung Orthopair fuzzysets (q- ROFs) and Aczel- Alsina average operators. Q- ROFs are superior than several clusters as intuitionistic fuzzy sets (IFSs) and the Pythagorean fuzzy sets (PFSs) because of hostvariableness. Aczel- Alsina t- norm (AA-TN) and t- conorm (AA-TCN) structures were putforward by Aczel and Alsina in 1982. These operators have very useful structure due to having changeability parameters. The objective of this paper is to introduce q-rung orthopair fuzzy Aczel- Alsina weighted average operator (q-ROFAAWA) by using Aczel- Alsina Average opera-tors (AAAOs). Then, we give generalized q-rung orthopair fuzzy Aczel- Alsina weighted averageoperator (Gq-ROFAAWA) and introduce Group generalized based Q-rung orthopair fuzzy Aczel-Alsina weighted average operator (GGq-ROFAAWA) with helping to (Gq-ROFAAWA). Generalized parameter is essential to induce error margin while decision makers decide final options about a subject. Moreover, we order an algorithm of presented approach and give an example toindicate flexible construction of GGq-ROFAAWA. Immediately after, we introduce a comparative analysis with different methods which indicate the superiority of proposed concept thanexisting methods.