Novel Endophyte Technology: Selection of the Fungus

2015 ◽  
pp. 105-115 ◽  
Author(s):  
C. P. West ◽  
M. L. Marlatt ◽  
M. E. McConnell ◽  
E. L. Piper ◽  
T. J. Kring
Keyword(s):  
Technology Selection ◽  
Selection Of

scholarly journals Renewable Energy Technology Selection Problem Using Integrated H-SWARA-MULTIMOORA Approach

2018 ◽  
Vol 10 (12) ◽  
pp. 4481 ◽  
Author(s):  
Abteen Ijadi Maghsoodi ◽  
Arta Ijadi Maghsoodi ◽  
Amir Mosavi ◽  
Timon Rabczuk ◽  
Edmundas Zavadskas
Keyword(s):  
Renewable Energy ◽  
Complex Problem ◽  
Development Project ◽  
Selection Problem ◽  
Technology Selection ◽  
Ratio Analysis ◽  
Energy Technology ◽  
Renewable Energy Technology ◽  
Multiple Attribute ◽  
Selection Of

Due to the adaptation of recent pollution mitigation and justification policies there has been a growing trend for electricity generation from various renewable resources. The selection of the optimal renewable energy technology could be measured as a complex problem due to the complication of forthcoming circumstances in any country. Consequently, the proposed similar complex assessment problem can be tackled with the support of Multiple Attribute Decision Making (MADM) methods. The current research study investigates a technology selection problem by proposing a hybrid MADM approach based on the Step-Wise Weight Assessment Ratio Analysis (SWARA) approach with a hierarchical arrangement combined with the Multi-Objective Optimization on the basis of Ratio Analysis plus the full MULTIplicative form (MULTIMOORA). Ultimately, a conceptual case study regarding the selection of the optimal renewable energy technology based on a conceptual development project in Iran has been examined by the proposed combinative MADM methodology.

The application of Delphi and AHP method in environmentally conscious solid waste treatment and disposal technology selection

2016 ◽  
Vol 27 (4) ◽  
pp. 427-440 ◽  
Author(s):  
Manoj Govind Kharat ◽  
Rakesh D Raut ◽  
Sachin S Kamble ◽  
Sheetal Jaisingh Kamble
Keyword(s):  
Decision Making ◽  
Waste Treatment ◽  
Evaluation Criteria ◽  
Technology Selection ◽  
Decision Making Process ◽  
Content Type ◽  
Environmentally Sustainable ◽  
Complex Models ◽  
Treatment And Disposal ◽  
Selection Of

Purpose – The purpose of this paper is to describe an application of Multi-Criteria Decision Making (MCDM) technique for the selection of waste treatment and disposal technology for municipal solid waste (MSW). Design/methodology/approach – The proposed approach is based on the integration of Delphi and Analytic Hierarchy Process (AHP) techniques. A model has been proposed to evaluate the best treatment and disposal technology. Expert opinions have been incorporated in the selection of criteria. AHP has been used to determine the weights of criteria, followed by ranking of the available technologies. Findings – Delphi method was used to derive appropriate evaluation criteria to assess the potential alternative technologies. A set of identified holistic criteria was used, representing the environmental, social, and economic aspects, as compared to the sub-criteria concept generally found in existing literature. Quantitative weightings from the AHP model were calculated to identify the priorities of alternatives. The study provides a simple framework for technology selection as compared to the complex models present in the literature, reducing the uncertainty, cost and time consumed in the decision-making process. Practical implications – The model identifies the optimal technologies for the handling, treatment and disposal of MSW in a better economic and more environmentally sustainable way. The study provides a simple framework for selection as compared to the complex models present in the literature, reducing the uncertainty, cost and time taken by the decision-making process. Originality/value – The paper highlights a new insight into MCDM techniques to select an optimum treatment and disposal technology suitable for MSW management in India. The study identifies a minimal relevant set of evaluation criteria, and appropriate technologies for the handling, treatment, and disposal of MSW in a more economic and environmentally sustainable way.

Cloud decision support framework for treatment technology selection of health-care waste

2021 ◽  
pp. 1-26
Author(s):  
Rui-Lu Huang ◽  
Min-hui Deng ◽  
Yong-yi Li ◽  
Jian-qiang Wang ◽  
Jun-Bo Li
Keyword(s):  
Health Care ◽  
Decision Support ◽  
Assessment Process ◽  
Technology Selection ◽  
Human Beings ◽  
Treatment Technology ◽  
Decision Support Framework ◽  
Health Care Waste ◽  
Evaluation Information ◽  
Selection Of

With the attention of people to environmental and health issues, health-care waste (HCW) management has become one of the focus of researchers. The selection of appropriate HCW treatment technology is vital to the survival and development of human beings. In the assessment process of HCW disposal alternative, the evaluation information given by decision makers (DMs) often has uncertainty and ambiguity. The expression, transformation and integration of this information need to be further studied. We develop an applicable decision support framework of HCW treatment technology to provide reference for relevant staff. Firstly, the evaluation information of DMs is represented by interval 2-tuple linguistic term sets (ITLTs). To effectively express qualitative information, the cloud model theory is used to process the linguistic information, a novel concept of interval 2-tuple linguistic integrated cloud (ITLIC) is proposed, and the relevant operations, distance measure and possibility degree of ITLICs are defined. Moreover, a weighted Heronian mean (HM) operator based ITLIC is presented to fuse cloud information. Secondly, the HCW treatment technology decision support model based on the BWM and PROMETHEE is established. Finally, the proposed model is demonstrated through an empirical example, and the effectiveness and feasibility of the model is verified by comparison with extant methods.

Selecting Sustainable Technologies for Municipal Solid Waste Treatment and Disposal: An Expert Based MCDM Approach

2020 ◽  
Vol 46 (1) ◽  
pp. 44-57
Author(s):  
Manoj Govind Kharat ◽  
Shankar Murthy ◽  
Sheetal Jaisingh Kamble ◽  
Mukesh Govind Kharat
Keyword(s):  
Municipal Solid Waste ◽  
Solid Waste ◽  
Waste Treatment ◽  
Evaluation Criteria ◽  
Decision Makers ◽  
Technology Selection ◽  
Sustainable Technologies ◽  
Fuzzy Delphi ◽  
Treatment And Disposal ◽  
Selection Of

Selection of appropriate municipal solid waste (MSW) treatment and disposal technology is a complex multi-criteria process. This paper demonstrates the reliability of the use of multi-criteria decision-making (MCDM) framework for the purpose of selecting the best MSW treatment and disposal alternatives. In this paper, a modified fuzzy Delphi-AHP-TOPSIS methodology is developed for the selection of the most appropriate MSW treatment and disposal technology. The study provides a systematic three-stage methodology towards technology selection. In the first stage, experts' opinions were sought to select the relevant criteria and the fuzzy Delphi Method (FDM) was used to obtain the critical factors for the evaluation of alternatives. In the second stage, the criteria weights and their importance degree were calculated by using AHP. Finally, the TOPSIS technique was used for ranking the alternatives to determine the most appropriate option. The study identifies a minimal relevant set of evaluation criteria and appropriate technologies for the handling, treatment and disposal of MSW in a more economical and environmentally sustainable way. Thus, the developed MCDM framework enables decision-makers to make informed decisions and achieve optimal results. It helps the decision makers select the best possible technology in a scientific manner. To demonstrate the approach taken, a real case of Mumbai city is taken.

scholarly journals Types and distribution of improved sanitation technologies in sub-Saharan Africa

2017 ◽  
Vol 7 (2) ◽  
pp. 260-271 ◽  
Author(s):  
Muchaneta Munamati ◽  
Innocent Nhapi ◽  
Shepherd N. Misi
Keyword(s):  
Negative Relationship ◽  
Study Data ◽  
Sub Saharan Africa ◽  
Technology Selection ◽  
Development Indicators ◽  
Distribution Study ◽  
Improved Sanitation ◽  
Pit Latrine ◽  
Sub Saharan ◽  
Selection Of

Access to improved sanitation technologies in sub-Saharan Africa (SSA) is very low. Despite the importance of improved sanitation technologies in sanitation monitoring, little attention has been given towards the types and distributions of improved sanitation technologies used in SSA. This paper presents an analysis of the distribution of improved sanitation technologies in SSA, with particular emphasis on factors influencing their distribution. Study data were derived from demographic health surveys, multiple indicator cluster surveys and World Bank Development Indicators. Results showed that the pit latrine with slab was the most prevalent technology (21%), while the composting toilet had the least coverage (0.6%). Multiple regression analysis results showed positive significant relationships between the following: income and flush toilets connected to sewer (p = 0.000), urban population and flush toilets connected to septic tanks (p = 0.000), development assistance and pit latrine with slab (p = 0.035) and a negative relationship between population and flush toilets connected to pit latrines (p = 0.030). The paper concluded that selection of sanitation technologies is influenced by different factors. In addition, prevailing socio-economic conditions can result in selection of inappropriate technologies. Technology selection, however, should strive to strike a balance between the economic, environmental, human health and socio-cultural sustainability aspects of sanitation.

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