A new assessment method of new energy in regional sustainable development based on hesitant fuzzy information
Abstract: The new energy has
been an important driving force in region sustainable development. It is a
critical issue to evaluate the role of new energy in region sustainable
development.
Design/methodology/approach: To deal with this issue, this paper proposes
a new score function, in which, both mean and variance are considered. Then it
introduces the basic operators, such as hesitant fuzzy weighted averaging
operator and hesitant fuzzy weighted geometric operator to get the
comprehensive assessment provided by the decision maker on each attribute.
Findings: Due to the drawbacks of existing methods with hesitant fuzzy
information, this paper puts forward a method and the procedure to solve the
MADM (multiple attribute decision making) problem. And an illustrative example
is demonstrated to verify the reliability of the proposed method.
Research limitations/implications: The method can be used to evaluate the
new energy in regional sustainable development, but it cannot solve the
problems with many experts.
Practical implications: Based on the new framework, a case study is
carried out to verify its applicability and validity. The research can fill the
gaps for the assessment framework of new energy in regional sustainable
development. This paper is of practical value in real life, which is the
application of some techniques.
Originality/value: This paper describes in detail in evaluating the role
of new energy in region sustainable development. And a new score function is
proposed with hesitant fuzzy information, that is, the idea of variance is
introduced to form a new score function to measure the deviation of hesitant
fuzzy elements. Meanwhile, the basic operator, such as hesitant fuzzy weighted
averaging operator and hesitant fuzzy weighted geometric operator are
introduced to integrate the hesitant fuzzy information.
Author: Hongdi Yao, Wenxing Li
Journal Code: jptindustrigg140098
