2016
DOI: 10.1177/0144598716643626
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A novel performance measurement approach based on trust context using fuzzy T-norm and S-norm operators: The case study of energy consumption

Abstract: 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 op… Show more

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Cited by 1 publication
(1 citation statement)
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“…Questions Related studies Gap 1-; there is a need to focus on the future of artificial neural networks in stock market prediction models in developing countries RQ1: to integrate the findings of the previous research in the field of artificial intelligence in stock market prediction models in different parts of the world, with more focus on the developing economies [10,19,22,26,60,[118][119][120][121][122][123][124][125][126][127][128][129][130][131] Gap 2: there is a much wider scope in the field of artificial intelligence to implement other methodological approaches; for instance, conducting a case study or a survey or an experiment using a hybrid model can further help in the development of more generalized models of stock prediction RQ2: to adopt other methodological approaches involving a case study, an experiment, or a survey Experiments: [11,29,75,91,97] Survey: [96,114] Case study: [91,[132][133][134][135][136] Gap 3: the scope of research lies in choosing the optimal algorithm as the solution. A combination of other themes may provide better insights and models for stock market prediction.…”
Section: Gapsmentioning
confidence: 99%
“…Questions Related studies Gap 1-; there is a need to focus on the future of artificial neural networks in stock market prediction models in developing countries RQ1: to integrate the findings of the previous research in the field of artificial intelligence in stock market prediction models in different parts of the world, with more focus on the developing economies [10,19,22,26,60,[118][119][120][121][122][123][124][125][126][127][128][129][130][131] Gap 2: there is a much wider scope in the field of artificial intelligence to implement other methodological approaches; for instance, conducting a case study or a survey or an experiment using a hybrid model can further help in the development of more generalized models of stock prediction RQ2: to adopt other methodological approaches involving a case study, an experiment, or a survey Experiments: [11,29,75,91,97] Survey: [96,114] Case study: [91,[132][133][134][135][136] Gap 3: the scope of research lies in choosing the optimal algorithm as the solution. A combination of other themes may provide better insights and models for stock market prediction.…”
Section: Gapsmentioning
confidence: 99%