We introduce the concepts of entropy and cross-entropy for hesitant fuzzy information, and discuss their desirable properties. Several measure formulas are further developed, and the relationships among the proposed entropy, cross-entropy, and similarity measures are analyzed, from which we can find that three measures are interchangeable under certain conditions. Then we develop two multiattri...

Considering the coronavirus disease 2019 (COVID-19) pandemic, government and health sectors are incapable of making fast reliable decisions, particularly given various effects decisions on different contexts or countries across multiple sectors. Therefore, leaders often seek decision support approaches to assist them in such scenarios. The most common approach used this regard is multiattribute...

Abstract Mathematical and computational decision models are powerful tools for studying choice behavior, hundreds of distinct have been proposed over the long interdisciplinary history making research. The existence so many has led to theoretical fragmentation redundancy, obscuring key insights into preventing consensus about essential properties preferential choice. We provide a synthesis form...

In this paper, we introduce an algorithm for decision making and object recognition problems involving vague soft sets and demonstrate the application of this algorithm in a decision making problem set in an imprecise environment. Mathematics Subject Classifications: 68T10, 68T20

Response mode research shows that participants under a judgment response mode demonstrate more compensatory processing than participants under a choice mode. Research on affect and choice reveals that positive-affect participants display more noncompensatory examination of information than negative-affect participants. In the present study, participants viewed a film clip to induce positive or ...

Supplier selection is a multiattribute decision making (MADM) problem which contains both qualitative and quantitative factors. Supplier selection has vital importance for most companies. The aim of this paper is to provide an AHP based analytical tool for decision support enabling an effective multicriteria supplier selection process in an air conditioner seller firm under fuzziness. In this a...

The concept of the neutrosophic hypersoft set (NHSS) is a parameterized family that deals with subattributes parameters and proper extension soft to accurately assess deficiencies, anxiety, uncertainty in decision-making. Compared existing research, NHSS can accommodate more uncertainty, which most significant technique for describing fuzzy information decision-making process. main objective fo...

Building green airports can be regarded as among the most promising routes to sustainable development of ecosystems and human health. This study aims at addressing problem airport plan selection under an uncertain context by developing multiattribute group decision making (MAGDM) model. In proposed model, assessment information is characterized in form a proportional hesitant 2-tuple linguistic...