A method to multi-attribute decision making problems by using heronian mean operators based on linear diophantine uncertain linguistic settings

In the real decision process, an important problem is how to express the attribute value more efficiently and accurately. In the real world, because of the complexity of decision-making problems and the fuzziness of decision-making environments, it is not enough to express attribute values of alternatives by exact values. For this managing with such sorts of issues, the principle of Linear Diophantine uncertain linguistic set is a valuable and capable technique to manage awkward and inconsistent information in everyday life problems. In this manuscript, we propose the original idea of Linear Diophantine uncertain linguistic set and elaborated their essential laws. Additionally, to determine the association among any numbers of attributes, we elaborated the Linear Diophantine uncertain linguistic arithmetic Heronian mean operator, Linear Diophantine uncertain linguistic weighted arithmetic Heronian mean operator, Linear Diophantine uncertain linguistic geometric Heronian mean operator, Linear Diophantine uncertain linguistic weighted geometric Heronian mean operator, and their properties are also discovered. By using these operators, we utilize the multi-attribute decision-making procedure by using elaborated operators. To determine the consistency and validity of the elaborated operators, we illustrate some examples by using explored operators. Finally, the superiority and comparative analysis of the elaborated operators with some existing operators are also determined and justified with the help of a graphical point of view.

A value chain perspective of the new normal travel behaviour: A case study of Indonesian millennials

The COVID-19 pandemic is utterly reshaping the travelling industry. Accordingly, the tourism supply chain is presented with a tremendous challenge for adjusting towards new trends in travel, which stem from changes in tourist behaviours. This paper examines the contemporary millennial behavioural preferences within a tourism value chain perspective, a theme that is largely overlooked in literature. In carrying out the agenda, we employed a multi-attribute decision-making approach in PROMETHEE II, one which is new to the study of tourists’ behaviour. A sample of 316 Indonesian millennials who conducted domestic travel post–COVID-19 outbreak participated in the survey. Research results highlighted imagery user generated content (UGC), direct information from close relatives, accommodation services, self-catered experience and nature-based attractions to mostly resonate with the millennial traveller. In light of the results, we presented managerial implications that shed light for adjustments in the tourism value chain. This study contributes to extend the knowledge of millennials travelling behaviour from an alternative standpoint.

Process Evaluation and Numerical Optimization in Friction Stir Welding of Dissimilar AMCs

In recent times, any engineering material is deemed worthwhile only if it satisfies functional characteristics such as weldability, formability, machinability, etc. Aluminum-based metal matrix composites have extensive usage in modern automobile parts, aircraft components, and ship structures, mainly due to their attractive properties such as low cost, high strength-to-weight ratio, excellent corrosion and wear resistance. Friction stir welding is one of the most versatile solid-state joining processes to ensure weldability between two AMC plates. In this research work, an analysis of FSW process through parameters (e.g., composition of alumina, spindle speed, feed, etc.) in joining Alumina reinforced aluminum alloy composites Al 6061 and Al 2024 together at various proportions by analyzing properties like impact strength, hardness, flatness, and ultimate tensile strength has been done. Finally, optimization is carried out to select the best possible combination using a multi-attribute decision-making technique called the complex proportional assessment of alternatives.