Yan‐bin Yuan, Ya‐qiong Zhu, You Zhou, N.R. Sælthun, Wei Cui and Jiejun Huang
The purpose of this paper is to extract the characterized mineralization information from large numbers of data obtained from geologic exploration based on rough set; analyze the…
Abstract
Purpose
The purpose of this paper is to extract the characterized mineralization information from large numbers of data obtained from geologic exploration based on rough set; analyze the inherent relation between mineral information genes and metallogenic probability, and offer the scientific basis for target prediction.
Design/methodology/approach
Mineral information includes all kinds of relative metallogenic information. In order to extract comprehensive metallogenic prediction information, it is necessary to filter initial observation information to emphasize the factors that are most advantageous to metallogenic prognosis. Rough set can delete irrespective or unimportant attributes on the premises of no information missing and no classification ability changing, without supplementary information or prior knowledge, which has important theoretic and practical value for metallogenic prognosis.
Findings
The association and importance of geological information referring to prospecting are found out through attribute reduction based on rough set.
Originality/value
The analysis of geological and mineral information based on rough set is a novel approach for high‐dimensional complex non‐deterministic polynomial problems which are predominant in geological research. The research successfully extracts characterized mineralization information to offer the scientific basis for target prediction.
Details
Keywords
Sten Söderman and Harald Dolles
The aim of this research was to identify and describe driving forces of importance in sponsorship during the seven years preceding a mega-sporting event like the Olympic Games…
Abstract
The aim of this research was to identify and describe driving forces of importance in sponsorship during the seven years preceding a mega-sporting event like the Olympic Games 2008 in Beijing. This was done through the development of a conceptual 'meansobjectives model' linking sponsorship to brand equity factors and to objectives. The proposed model enables matching with real data consisting of 200 randomly chosen advertisements, articles and press releases from Chinese newspapers and the internet, revealing six types of means-objectives in sponsorship.
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Keywords
Syed Zeeshan Zafar, Qiao Zhilin, Haider Malik, Ayman Abu-Rumman, Ata Al Shraah, Faisal Al-Madi and Tasneem Faiez Alfalah
The discussion on energy efficiency has been increasing due to the increasing population, emissions of degradable and harmful pollutants, and clean energy substitutes are being…
Abstract
Purpose
The discussion on energy efficiency has been increasing due to the increasing population, emissions of degradable and harmful pollutants, and clean energy substitutes are being developed in order to manage and control the energy requirements all over the world. Against this backdrop, the factors of technological innovation and environmental regulations have been determined as key indicators for the evaluation of sustainable developments and practices in the energy efficiency evaluation studies.
Design/methodology/approach
A two-stage analysis process has been configured for evaluation of the energy efficiency. The first stage includes the estimation of the Total factor energy efficiency scores using the data envelopment Multiplier input-oriented methodology, while the second stage includes the exploration of the impact of technological innovation and government environmental regulations on the Total factor energy efficiency scores obtained in the first step through the application of a spatial regression model.
Findings
This paper highlights the link between the need for and impact of energy efficiency innovations and shows that the energy efficiency goal can be fulfilled by incorporating laws on sustainability and incorporating strict regulations that allow for the use of clean energy, low carbon energy technologies.
Originality/value
The present study, furthermore, provides evidence from 15 countries, five from three different continents, i.e. Asia, Europe and Africa so that a cross-country performance of these factors can be evaluated. The main contribution of the present study is the evaluation of the technological innovation on energy efficiency. There have been studies evaluating various factors on the development of energy-efficient practices; however, the focus on the role of technological innovation and governmental regulations has been scarce.