A novel performance measurement approach based on trust context using fuzzy T-norm and S-norm operators: The case study of energy consumption

作者：Azadeh Ali^*; Aryaee Mojtaba; Zarrin Mansour; Saberi Morteza

来源：Energy Exploration & Exploitation, 2016, 34(4): 561-585.

DOI：10.1177/0144598716643626

• Performance assessment measures
• adaptive network based fuzzy inference system (ANFIS)
• trust
• fuzzy t-norm and s-norm operators
• time series modeling
• linear regression

In today's economic environment, performance and efficiency assessment is essential for organizations in order to survive and raise their market share. Energy efficient consumption is a major issue in the energy planning of each country which is a big concern of managers, hence, exploitation of a strong approach for efficiency evaluation and assessment seems necessary in the energy section. In this study, a novel performance assessment model is proposed based on the concept of trust, using two popular fuzzy operators called T-norm and S-norm. The developed model is applied for a real case study of energy consumption efficiency assessment for 36 countries. An adaptive network based fuzzy inference system (ANFIS) is used to measure the efficiencies. Also, to predict efficiency rates of the future time periods, a regression model is applied as a time series model. The obtained results indicate the superiority and applicability of the proposed methodology. To the best of our knowledge, this is the first study that proposes a novel performance measurement approach based on trust context by using fuzzy T-norm and S-norm operators.

• 出版日期2016-7