Multi-attribute decision-making technique using bipolar linear diophantine fuzzy hypersoft set

The state of bipolarity plays a major role in any circumstance due to the involvement of fors and againsts for each condition. This research enhances some rudimentary operations, propositions, and valuable theorems based on the recently developed aspect called the bipolar linear diophantine fuzzy hypersoft set. The choice of the individual without restriction enhances the technique. In addition, all its crumbles are curtailed with more flexibility. Railways are easily accessible for all classes of people and require a guarded journey. Currently, rail accidents are a major controversy all over the world as they kill many and injure riskily. For this reason, an algorithm is expanded to elect an effective crash-evasive rail carriage equipped with ultrasonic sensors to detect the range of the hindrance and brake controls. The study aims to gain additional insight and solve the critical issue of railway safety, particularly regarding recent incidents that have placed passengers at risk worldwide. The initiative aims to develop a highly effective crash-evasive rail carriage system by extending the capabilities of existing algorithms. This technology aims to minimize the incidence of rail accidents by selecting an ideal system based on the sensing range of sensor and brake control mechanisms. The study further distinguishes its innovations to set theoretic operations within the framework plays a vital role in strengthening procedures for making choices and guaranteeing the accuracy of the proposed solution. The recommended strategy not only confronts current safety concerns but also sets the foundation for future technological evolution in the railway sector.

کلیدواژه ها:

Bipolar Linear Diophantine Fuzzy Set ، Bipolar Linear Diophantine Fuzzy Hypersoft Set ، Rail Carriage ، Crash-evasive ، Ultrasensors ، Brake controls