<p>The attitude of using fuzzy numbers to represent data has led to the emergence of a powerful theory. It is observed that handling data using fuzzy numbers makes things significantly easier in calculations and daily life problems by allowing us to handle unclear data more effectively in cases such as personal opinions, different required requests, predictions, especially smart logistics management and storage activities. Within this research, firstly the definition of bipolar fuzzy credibility number (BFCN) as a fresh addition of the bipolar vague construct will be given. The degree of credibility of the vague evaluation measure illustrates its significance and requirement in the problem of vague making decisions. To raise the credibility levels and degrees of vague evaluation standards, the vague judgement measures should be tightly tied to their credibility measures. This will boost the availability and trustworthiness of assessment information. Thus, the gap in the literature will be filled and a much more general theory idea will be put forward, including the idea of fuzzy numbers, which is developed in mathematics and engineering science and used in the advancement of current and information technologies. Following that, we present BFCN operations, BFCN scoring function. As a result, we presented some new operational principles for bipolar fuzzy credibility numbers. Additionally, the vague evaluation value’s credibility level indicates its significance and requirement regarding the uncertain decision-making issue, but the fuzzy decision-making methods that are currently in use only indicate fuzzy measurement contents due to the ambiguity and uncertainty of human opinions in selections over qualities for difficult decision-making situations. By tightly tying vague measurement contents to their credibility measures, more comprehensive and trustworthy measurement information may be produced, which will raise the credibility levels of vague measurements. To cope with MDM challenges in the establishment of BFCNs, a multi-attribute decision-making (MDM) strategy is built using the BFCNWAA or BFCNWGA operator. Lastly, a decision-making example based on the specifications of the smart electronic market warehouse logistics management system and issues pertaining to this warehouse logistics management is utilized to illustrate the usability and efficacy of the developed decision-making method. Furthermore, the viability of the suggested MDM method for determining the most appropriate intelligent logistics management and warehousing activities will be proven and the results obtained with the MDM method using the mathematical model will be compared with the currently accepted similarity measures. </p>