Optimum Selection of Energy Service Company Based on Intuitionistic Fuzzy Entropy and VIKOR Framework
Energy user's choice of energy service company affects the smooth implementation of energy performance contracting. Energy performance contracting is a new mechanism for energy saving. In the energy performance contracting, the energy user and energy service company cooperate to save energy and...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9222018/ |
| _version_ | 1818727472917643264 |
|---|---|
| author | Sha Fu Hangjun Zhou Ye-Zhi Xiao |
| author_facet | Sha Fu Hangjun Zhou Ye-Zhi Xiao |
| author_sort | Sha Fu |
| collection | DOAJ |
| description | Energy user's choice of energy service company affects the smooth implementation of energy performance contracting. Energy performance contracting is a new mechanism for energy saving. In the energy performance contracting, the energy user and energy service company cooperate to save energy and share the benefit. One difficulty in actualizing the energy performance contracting is to select the optimal energy service company. However, there are few literatures to analyze the efficient selection mechanism. A government is used as the energy user and the energy service company selection based on intuitionistic fuzzy entropy and VIKOR framework is studied in this paper. A group decision-making method based on intuitionistic fuzzy entropy and VIKOR framework is proposed to solve the multi-attribute group decision-making problem with the unknown decision-makers' weight and attribute weight. First, the attribute synthetic weight is determined by intuitionistic fuzzy entropy weight method and weight coordination coefficient, and expert weight is determined by objective decision information after considering the intuitionistic fuzzy entropy of decision matrix; then, the intuitionistic fuzzy group decision matrix aggregated by experts is obtained through the aggregation of intuitionistic fuzzy weighted average (IFWA) operator, and the improved intuitionistic fuzzy number distance measure is introduced into the solutions of group utility value and individual regret value to make the evaluation results more accurate and reasonable. Finally, the validity and practicability of decision-making method is analyzed and verified with an example, so as to provide a new method and idea for multi-attribute intuitionistic fuzzy group decision-making. |
| first_indexed | 2024-12-17T22:14:39Z |
| format | Article |
| id | doaj.art-96916f623e1543dea0dcc2d7cdb7c055 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-17T22:14:39Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-96916f623e1543dea0dcc2d7cdb7c0552022-12-21T21:30:39ZengIEEEIEEE Access2169-35362020-01-01818657218658410.1109/ACCESS.2020.30306519222018Optimum Selection of Energy Service Company Based on Intuitionistic Fuzzy Entropy and VIKOR FrameworkSha Fu0https://orcid.org/0000-0001-8720-9162Hangjun Zhou1https://orcid.org/0000-0001-5860-8404Ye-Zhi Xiao2School of Information Technology and Management, Hunan University of Finance and Economics, Changsha, ChinaSchool of Information Technology and Management, Hunan University of Finance and Economics, Changsha, ChinaSchool of Information Technology and Management, Hunan University of Finance and Economics, Changsha, ChinaEnergy user's choice of energy service company affects the smooth implementation of energy performance contracting. Energy performance contracting is a new mechanism for energy saving. In the energy performance contracting, the energy user and energy service company cooperate to save energy and share the benefit. One difficulty in actualizing the energy performance contracting is to select the optimal energy service company. However, there are few literatures to analyze the efficient selection mechanism. A government is used as the energy user and the energy service company selection based on intuitionistic fuzzy entropy and VIKOR framework is studied in this paper. A group decision-making method based on intuitionistic fuzzy entropy and VIKOR framework is proposed to solve the multi-attribute group decision-making problem with the unknown decision-makers' weight and attribute weight. First, the attribute synthetic weight is determined by intuitionistic fuzzy entropy weight method and weight coordination coefficient, and expert weight is determined by objective decision information after considering the intuitionistic fuzzy entropy of decision matrix; then, the intuitionistic fuzzy group decision matrix aggregated by experts is obtained through the aggregation of intuitionistic fuzzy weighted average (IFWA) operator, and the improved intuitionistic fuzzy number distance measure is introduced into the solutions of group utility value and individual regret value to make the evaluation results more accurate and reasonable. Finally, the validity and practicability of decision-making method is analyzed and verified with an example, so as to provide a new method and idea for multi-attribute intuitionistic fuzzy group decision-making.https://ieeexplore.ieee.org/document/9222018/Intuitionistic fuzzy entropyenergy service companymulti-attribute group decision-makingexpert weightintuitionistic fuzzy weighted average (IFWA) operator |
| spellingShingle | Sha Fu Hangjun Zhou Ye-Zhi Xiao Optimum Selection of Energy Service Company Based on Intuitionistic Fuzzy Entropy and VIKOR Framework IEEE Access Intuitionistic fuzzy entropy energy service company multi-attribute group decision-making expert weight intuitionistic fuzzy weighted average (IFWA) operator |
| title | Optimum Selection of Energy Service Company Based on Intuitionistic Fuzzy Entropy and VIKOR Framework |
| title_full | Optimum Selection of Energy Service Company Based on Intuitionistic Fuzzy Entropy and VIKOR Framework |
| title_fullStr | Optimum Selection of Energy Service Company Based on Intuitionistic Fuzzy Entropy and VIKOR Framework |
| title_full_unstemmed | Optimum Selection of Energy Service Company Based on Intuitionistic Fuzzy Entropy and VIKOR Framework |
| title_short | Optimum Selection of Energy Service Company Based on Intuitionistic Fuzzy Entropy and VIKOR Framework |
| title_sort | optimum selection of energy service company based on intuitionistic fuzzy entropy and vikor framework |
| topic | Intuitionistic fuzzy entropy energy service company multi-attribute group decision-making expert weight intuitionistic fuzzy weighted average (IFWA) operator |
| url | https://ieeexplore.ieee.org/document/9222018/ |
| work_keys_str_mv | AT shafu optimumselectionofenergyservicecompanybasedonintuitionisticfuzzyentropyandvikorframework AT hangjunzhou optimumselectionofenergyservicecompanybasedonintuitionisticfuzzyentropyandvikorframework AT yezhixiao optimumselectionofenergyservicecompanybasedonintuitionisticfuzzyentropyandvikorframework |