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Nevertheless, in reality, in any decision-making process, it is often observed that due to some doubt or hesitation, it is pretty tricky for decision-maker(s) to specify the precise\/crisp value of any parameters and compelled to take opinions from different experts which leads towards a set of conflicting values regarding satisfaction level of decision-maker(s). Therefore the real decision-making problem cannot always be deterministic. Various types of uncertainties in parameters make it fuzzy. This paper presents a practical mathematical framework to reflect the reality involved in any decision-making process. The proposed method has taken advantage of the hesitant fuzzy aggregation operator and presents a particular way to emerge in a decision-making process. For this purpose, we have discussed a couple of different hesitant fuzzy aggregation operators and developed linear and hyperbolic membership functions under hesitant fuzziness, which contains the concept of hesitant degrees for different objectives. Finally, an example based on a multiobjective optimization problem is presented to illustrate the validity and applicability of our proposed models.<\/jats:p>","DOI":"10.1051\/ro\/2022006","type":"journal-article","created":{"date-parts":[[2022,1,10]],"date-time":"2022-01-10T19:52:38Z","timestamp":1641844358000},"page":"275-292","source":"Crossref","is-referenced-by-count":13,"title":["A novel approach for the solution of multiobjective optimization problem using hesitant fuzzy aggregation operator"],"prefix":"10.1051","volume":"56","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9128-6555","authenticated-orcid":false,"given":"Firoz","family":"Ahmad","sequence":"first","affiliation":[]},{"given":"Ahmad Yusuf","family":"Adhami","sequence":"additional","affiliation":[]},{"given":"Boby","family":"John","sequence":"additional","affiliation":[]},{"given":"Amit","family":"Reza","sequence":"additional","affiliation":[]}],"member":"250","published-online":{"date-parts":[[2022,2,7]]},"reference":[{"key":"R1","first-page":"288","volume":"15","author":"Adhami","year":"2020","journal-title":"Int. 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