A Novel Multiple Attribute Decision Making Framework based on Hamacher Operations in Patron Driven Acquisitions Mode of Library Management

As a fuzzy set extension, the hesitant set is effectively used to model situations where it is allowable to determine several possible membership degrees of an element to a set due to the ambiguity between different values. Some new hesitant fuzzy operational rules are introduced based on the Hamacher t-conorm and t-norm, whereby we present a multi attribute decision making method under hesitant fuzzy information. In the daily management of library, book selection problem usually is very complex and unstructured, because variety of uncontrollable and unpredictable factors affects the evaluation and decision-making process at different levels. By integrating the multiple attribute decision making method with (Patron Driven Acquisitions, PDA) mode, a novel multiple attribute decision making framework based on Hamacher operations in PDA mode is proposed to select the best book providing the highest satisfaction for the attributes determined in this paper. Finally, a case study is so demonstrated to verify the reliability and applicability of the proposed framework.