Multiple Attribute Decision Making Method Based on Normalized Geometric Aggregation Operators of Single Valued Neutrosophic Hesitant Fuzzy Information is popular PDF and ePub book, written by Li Wang in 2024-10-02, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Multiple Attribute Decision Making Method Based on Normalized Geometric Aggregation Operators of Single Valued Neutrosophic Hesitant Fuzzy Information can be Read Online from any device for your convenience.

Multiple Attribute Decision Making Method Based on Normalized Geometric Aggregation Operators of Single Valued Neutrosophic Hesitant Fuzzy Information Book PDF Summary

As a generalization of both single-valued neutrosophic element and hesitant fuzzy element, single-valued neutrosophic hesitant fuzzy element (SVNHFE) is an efficient tool for describing uncertain and imprecise information. Thus, it is of great significance to deal with single-valued neutrosophic hesitant fuzzy information for many practical problems. In this paper, we study the aggregation of SVNHFEs based on some normalized operations from geometric viewpoint. Firstly, two normalized operations are defined for processing SVNHFEs. Then, a series of normalized aggregation operators which fulfill some basic conditions of a valid aggregation operator are proposed. Additionally, a decision-making method is developed for resolving multi-attribute decision-making problems based on the proposed operators.

Detail Book of Multiple Attribute Decision Making Method Based on Normalized Geometric Aggregation Operators of Single Valued Neutrosophic Hesitant Fuzzy Information PDF

Multiple Attribute Decision Making Method Based on Normalized Geometric Aggregation Operators of Single Valued Neutrosophic Hesitant Fuzzy Information
  • Author : Li Wang
  • Release : 02 October 2024
  • Publisher : Infinite Study
  • ISBN : 978186723xxxx
  • Genre : Mathematics
  • Total Page : 15 pages
  • Language : English
  • PDF File Size : 20,9 Mb

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