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One of the most effective techniques for determining the best choice among the several is to use a fuzzy TOPSIS. This paper proposes a novel intuitionistic fuzzy entropy measure to deal with a MCDM problem by using fuzzy TOPSIS. To express rating of each option and weighting of each criteria, this method uses an intuitionistic fuzzy number. An actual example has given to show how the fuzzy TOPSIS approach may utilized to address a MCDM problem in which we compare the three universities Guru Nanak Dev University; Panjab University and Punjabi University while choosing on the most desired choice, the decision maker uses the seven criterion by using real data from https://naac.gov.in. At the last, we show the distinction between the suggested fuzzy TOPSIS approach and the classic fuzzy approach. The suggested fuzzy TOPSIS method uses intuitionistic fuzzy numbers to introduce objective entropy weights into an intuitionistic fuzzy environment, while the classic fuzzy TOPSIS method uses intuitionistic fuzzy numbers to introduce criterion weights into a fuzzy environment. This shows that the alternatives' closeness coefficient values are quantitative and change depending on the criteria, and can used to show the degree to which one alternative is better than the other one. [ABSTRACT FROM AUTHOR]

Agile Scrum methodology is gaining attention in software industries as well as in several other fields. Scrum methodology is executed in a series called sprints. It involves 2 to 6 weeks of work. The cycle has a beginning stage, different targets, and a deliverable product is formed. Scrum methodology is used by the SDLC model. Scrum is self-organizing and cross-functional which means everyone is needed to take a feature from idea to implementation. It is a lightweight framework and it is used to solve mind-boggling issues. Agile Scrum methodology consists of the following roles: owner of the product, master of the scrum, and team members that are responsible for the development. Here in this paper, the Scrumban methodology is being proposed in the manufacturing industry. It is flexible and is expected to increase the speed of the deliverable products. [ABSTRACT FROM AUTHOR]