Earticle

초록

영어

Patent pool partner selection is a typical multi-attribute decision making (MADM) problem, and that based on intuitionistic fuzzy (IF) theory is widely applied in this research field. In this paper, a dynamic MADM method based on time degrees and intuitionistic fuzzy entropy (IFE) is proposed. We determine the attribute weights under different time sequence based on IFE; and establish a non-linear programming model combining the principle of time degrees with grey entropy theory to calculate time weights vector; the dynamic intuitionistic fuzzy weighted geometric-operator(DIFWG) is used to aggregate different periods of weighted intuitionistic fuzzy decision-making matrix; TOPSIS was integrated into dynamic intuitionistic fuzzy multiple attribute decision making (DIF-MADM), by calculating the relative closeness of alternatives with ideal solution, we obtain the optimum alternative; finally, an example is given to illustrate the applicability and rationality of the proposed approach.

목차

Abstract
 1. Introduction
 2. Preliminaries
 3. Presented Algorithm
  3.1. Framework of the Proposed Model
  3.2. Procedure of the Proposed Model
 4. Experimental Analyses
 5. Conclusions
 Acknowledgments
 References

키워드

저자

• Chen Wei [ School of Economy and Management Harbin Engineering University, Harbin 150001, China ]
• Li Jinqiu [ School of Economy and Management Harbin Engineering University, Harbin 150001, China ]
• Lin Chaoran [ School of Economy and Management Harbin Engineering University, Harbin 150001, China ]
• Yang Zaoli [ School of Economy and Management Harbin Engineering University, Harbin 150001, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605