scholarly journals A Decision-making Framework for Vegetated Roofing System Selection

2008 ◽  
Vol 3 (4) ◽  
pp. 138-153 ◽  
Author(s):  
Elizabeth J Grant ◽  
James R Jones

Design frequently involves making tradeoffs to obtain the “optimal” solution to a design problem, often using intuition or past experience as a guide. Since vegetated roofing is a relatively complex and comparatively new technology to many practitioners, a rational, explicit method to help organize and rank the tradeoffs made during the design process is needed. This research comprises the creation of a framework diagramming the decision process involved in the selection of vegetated roofing systems. Through literature review, case studies and interviews with experts, the available knowledge is captured and organized to determine the critical parameters affecting design decisions. Six important evaluative categories are identified and parameters within these categories are addressed in the context of a decision support system for green roof designers. A summation of the total importance of the advantages represented by each alternative is used to determine the most feasible green roof system for a particular project. The framework is demonstrated and compared with green roof designers' decision-making processes and conclusions are drawn regarding its effectiveness.

2009 ◽  
pp. 147-154 ◽  
Author(s):  
Dusan Skakic ◽  
Igor Dzincic

Both the scientific experience and the engineering practice indicate that the decision making processes in the course of solving complex designing problems require an analysis of a great number of different construction variants. These types of decision-making processes are time consuming and do not always result in the selection of an optimal solution. That is why the methods of numerical optimization are applied in a wide range of technical sciences to assist in the selection of the best solution. The first step in solving the problem by using the Finite element method is to determine the type of chair earmarked for modeling, and to determine the dimensions of the chair elements.


2020 ◽  
pp. 78-88
Author(s):  
Muhammad Naveed Jafar ◽  
Ahmad Raza Shafiq ◽  
Muhammad Khalid ◽  
Hamza Akbar ◽  
Aamir Naveed ◽  
...  

Uncertainty is a big problem in our routine life. Many theories were developed to handle uncertain environments. This paper approaches the concept of neutrosophic soft matrices (NSM) and multiple types of NSM to achieve solutions to a possible problem and provide ideas to tackle other problems relating to uncertainties. Here, NSM has been utilized to demonstrate the performance of different farmers, and further score function has been implemented to solve a possible application of decision making in agriculture. It explains the selection of the best farmer by scientific experts through an algorithm in this paper. The selection based upon the better production of crop and nature, fertilizer, pesticides, etc. are used as attributes, which will contribute to the performance of each farmer. Finally, combining the attributes, which will help us achieve a conclusion to determine the best farmer.


2021 ◽  
pp. 147612702110468
Author(s):  
James D Westphal ◽  
David H Zhu ◽  
Rajyalakshmi Kunapuli

We examine the symbolic management of participative strategic decision-making programs that purportedly use crowdsourcing technology to solicit strategic input below the executive suite, but are often decoupled from actual strategic decision making. Specifically, top management may decide on a strategic option before soliciting input under the program. The first portion of our theoretical framework explains why disclosure of a participative strategic decision making program in communicating with security analysts is associated with more positive analyst appraisals, despite decoupling, and why the benefits of disclosure are amplified to the extent that leaders highlight the use of crowdsourcing technology in the program. The second portion of our framework addresses the antecedents of symbolic adoption. We suggest that firms are more likely to adopt and decouple a program when the CEO has a personal friendship tie to the CEO of another firm that has adopted and decoupled, especially following relatively negative analyst appraisals. Analysis of a unique dataset that includes longitudinal survey data from executives supported our predictions.


Author(s):  
Aidé Maldonado-Macías ◽  
Jorge Luis García-Alcaraz ◽  
Francisco Javier Marrodan Esparza ◽  
Carlos Alberto Ochoa Ortiz Zezzatti

Advanced Manufacturing Technology (AMT) constitutes one of the most important resources of manufacturing companies to achieve success in an extremely competitive world. Decision making processes for the Evaluation and Selection of AMT in these companies must lead to the best alternative available. Industry is looking for a combination of flexibility and high quality by doing significant investments in AMT. The proliferation of this technology has generated a whole field of knowledge related to the design, evaluation and management of AMT systems which includes a broad variety of methodologies and applications. This chapter presents a theoretical review of the term AMT, its diverse classification and a collection of the most effective multi-attribute models and methodologies available to support these processes. Relevant advantages are found in these models since they can manage complex decision making problems which involve large amount of information and attributes. These attributes frequently can be tangible and intangible when vagueness and uncertainty exist. There are several multi-attribute methodologies which are extensively known and used in literature; nevertheless, a new fuzzy multi-attribute axiomatic design approach is explained for an ergonomic compatibility evaluation of AMT.


Author(s):  
Dean Carson

Tourism and hospitality industries are heavily reliant on the effective exchange of information between suppliers, intermediaries, regulatory and marketing agencies, and consumers (Sheldon, 1999). Many technologies may be employed to facilitate this exchange, with the selection of the most appropriate technologies in any given circumstance depending on issues such as the proximity of agents; the extent to which information is dynamic; and the application of information as part of business or decision-making processes.


2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Jinyu Li ◽  
Asif Ullah ◽  
Jun Li ◽  
Shah Nazir ◽  
Habib Ullah Khan ◽  
...  

Requirement engineering is the first phase of software engineering. In requirement engineering, the first phase is requirement elicitation (RE), which is the most critical and error-prone activity. In this phase, the requirements are extracted from various sources; after extraction, they are analyzed and documented for a specific purpose of software development. In RE, process requirements from stakeholders are gathered, upon which the entire software product failure and success are dependent. In order to accomplish the goal of requirement elicitation, various techniques are used. However, the selection of these techniques is a very challenging task, as one technique may suit a situation but may not be suited for other situations. Besides this, project attributes such as documentation culture of organization, degree of relationship among stakeholders, and familiarity to domain also have a great impact on the process of technique selection. The reason is that there is no empirical value of the techniques that provide help in techniques selection to analyze the basis software project attributes. This study proposed the analytic network process, which is one of the multicriteria decision making processes for the elicitation technique selection process with respect to criterion attributes of project. The motivation toward the use of the ANP approach for the selection of requirement selection technique is that there are dependencies existing among attributes of the project elements. So, the ANP approach is capable of dealing with such situations where dependencies and complexity occur. Results of the proposed study demonstrate that the technique helps in complex situations where decision making is difficult based on the alternatives.


Author(s):  
Guiwu Wei ◽  
Jie Wang ◽  
Hui Gao ◽  
Cun Wei

In this paper, the multiple attribute decision making (MADM) problems are investigated with picture 2-tuple linguistic information. Then, based on Hamy mean (HM) operator and dual Hamy mean (DHM) operator, the power average and power geometric operations are utilized to develop some picture 2-tuple linguistic power Hamy mean aggregation operators: picture 2-tuple linguistic power weighted Hamy mean (P2TLPWHM) operator, picture 2-tuple linguistic power weighted dual Hamy mean (P2TLPWDHM) operator, picture 2-tuple linguistic power ordered weighted Hamy mean (P2TLPOWHM) operator, picture 2-tuple linguistic power ordered weighted dual Hamy mean (P2TLPOWDHM) operator, picture 2-tuple linguistic power hybrid Hamy mean (P2TLPHHM) operator and picture 2-tuple linguistic power hybrid dual Hamy mean (P2TLPHDHM) operator. The prominent characteristic of these proposed operators are studied. Then, these operators are utilized to develop some approaches to solve the picture 2-tuple linguistic multiple attribute decision making problems. Finally, the proposed method is demonstrated through a practical example for enterprise resource planning (ERP) system selection of how the proposed methods help us and is effective in MADM problems.


Author(s):  
Remigiusz Rosicki

The objective scope of the analysis performed in the text encompasses the energy security in the European Union and its member states, and includes the perspective of geopolitical conditions. The geopolitical conditions should be understood as a variety of relations between geographical conditions and decision-making processes concerned with energy security. The main objective of the text is to present a selection of theoretical problems encountered in the study of energy security, as well as to link them with such issues as gas import dependence and the risk of gas supply disruptions, mainly from the Russian direction. In order to elaborate the objective scope of analysis, the following research questions are presented: (1) To what extent do geographical conditions determine decision-making processes in the energy policy pursued by the European Union?; and (2) To what extent do geographical conditions determine threats to the security of gas supplies to the European Union and its member states? The text is chiefly an overview, but the theoretical part loosely makes use of the premises of the research program concerned with the integration of knowledge as part of the studies of energy security and energy transitions, presented by E. Brutschina, A. Cherp, J. Jewell, B. K. Sovacool and V. Vinichenka. Additionally, knowledge contained in the literature on energy and gas security has been synthesized and enriched with a critical approach, and the author’s own assessments and conclusions.


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