scholarly journals UPGRADING THE OLD VERNACULAR BUILDING TO CONTEMPORARY NORMS: MULTIPLE CRITERIA APPROACH

2014 ◽  
Vol 20 (2) ◽  
pp. 291-298 ◽  
Author(s):  
Eglė Šiožinytė ◽  
Jurgita Antuchevičienė ◽  
Vladislavas Kutut

Sustainable development is emphasized in the process of construction or modernization of buildings at present. Old vernacular architecture does not satisfy contemporary building norms such as daylighting and/or thermal performance parameters. These parameters are important for sustainability due to their relation with energy savings. It is obvious that seeking to improve these parameters, old buildings should be upgraded. The main problem is how to reach contemporary building norms without a negative impact to architectural heritage in a process of modernisation. The aim of the research is to find the best compromise solution for effective vernacular architecture's change. The Authors suggest using multiple criteria approach that enables to evaluate possible alternative solutions in several controversial aspects and to find rational building's modernisation type. Also, suitability of combination of usual MCDM (Multiple Criteria Decision Making) methods with grey systems theory due to possibility of processing of large quantity of uncertain information is highlighted in the research. TOPSIS Grey (Technique for Order Preference by Similarity to Ideal Solution with grey numbers) and AHP (Analytic Hierarchy Process) methods are applied for the presented case study of upgrading the old vernacular building. Taking into account multiple quantitative and qualitative criteria and experts' opinion, the rational vernacular building's modernisation variant is chosen. Based on the comprehensive analysis, research conclusions and recommendations are formulated.

2013 ◽  
Vol 19 (6) ◽  
pp. 873-882 ◽  
Author(s):  
Eglė Šiožinytė ◽  
Jurgita Antuchevičienė

Seeking for saving traditional forms, sizes, proportions and other features of vernacular architecture and satisfying norms for a contemporary building sometimes is not an easy task. The presented case study about indoor daylighting in Lithuanian vernacular architecture shows the existing problem. The authors of the article suggest possible variants of how to improve daylighting in vernacular buildings. The aim of the conducted research is to propose a rational solution to the problem using multiple criteria assessment. Alternative variants can be characterized by a number of quantitative and qualitative criteria. Thus, for ranking alternatives and achieving the most rational solution, the use of the Analytic Hierarchy Process (AHP) to evaluate the relative importance of criteria as well as the application of Multiple Criteria Decision Making (MCDM) methods are put forward. The case study presents possible alternatives for improving daylighting in the reconstructed building and simultaneously analyses the process of saving the features of vernacular architecture applying the AHP for weighting criteria and Complex Proportional Assessment (COPRAS), Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and Weighted Aggregated Sum Product Assessment (WASPAS) for ranking alternative solutions. It is estimated that the utility degree of the best ranked alternative exceeds the further ranked alternatives from 29 to 49 percent.


2016 ◽  
Vol 9 (2) ◽  
pp. 223 ◽  
Author(s):  
Saeed Mazloomi Mahmoodabad ◽  
Akram Mehrabbeyk ◽  
Hassan Mozaffari-Khosravi ◽  
Hossein Fallahzadeh

<p>In order to better plan health based interventions, educators and health promoters need to make decisions in this regard. In the meantime, it should be noted that, multiple criteria decision making methods with theoretical roots and accuracy of forecasting results are less considered.</p><p>The current study is a descriptive research carried out on 15 experts working in Yazd Health Centers using purposeful sampling. In order to identify wrong eating habits of students, Delphi method is used. In the next step, these habits are compared, one by one, and scored with Analytical Hierarchy Process (AHP) Model. In the end, data are analyzed using Expert Choice 11 software.</p><p>Seven major wrong eating habits of female adolescents are identified: junk food consumption, drinking soda and sweet drinks, eating fast food, deleting main meals, improper diets, low intake of vegetables, and not eating breakfast. Among these, low intake of vegetables, eating fast food, and not eating breakfast, with weight rate of 32.4%, 19.4% and 19.3%, are specified as the first three priorities of education.</p><p>In various fields of education and health promotion, including prioritizing training needs, employing techniques with potentials of assessing multiple criteria at the same time can be highly efficient. </p>


Author(s):  
G G Davidson ◽  
A W Labib

This paper proposes a new concept of decision analysis based on a multiple criteria decision making (MCDM) process. This is achieved through the provision of a systematic and generic methodology for the implementation of design improvements based on experience of past failures. This is illustrated in the form of a case study identifying the changes made to Concorde after the 2000 accident. The proposed model uses the analytic hierarchy process (AHP) mathematical model as a backbone and integrates elements of a modified failure modes and effects analysis (FMEA). The AHP has proven to be an invaluable tool for decision support since it allows a fully documented and transparent decision to be made with full accountability. In addition, it facilitates the task of justifying improvement decisions. The paper is divided as follows: the first section presents an outline of the background to the Concorde accident and its history of related (non-catastrophic) malfunctions. The AHP methodology and its mathematical representation are then presented with the integrated FMEA applied to the Concorde accident. The case study arrives at the same conclusion as engineers working on Concorde after the accident: that the aircraft may fly again if the lining of the fuel tanks are modified.


2015 ◽  
Vol 32 (7) ◽  
pp. 763-782 ◽  
Author(s):  
Hu-Chen Liu ◽  
Jian-Xin You ◽  
Xue-Feng Ding ◽  
Qiang Su

Purpose – The purpose of this paper is to develop a new failure mode and effect analysis (FMEA) framework for evaluation, prioritization and improvement of failure modes. Design/methodology/approach – A hybrid multiple criteria decision-making method combining VIKOR, decision-making trial and evaluation laboratory (DEMATEL) and analytic hierarchy process (AHP) is used to rank the risk of the failure modes identified in FMEA. The modified VIKOR method is employed to determine the effects of failure modes on together. Then the DEMATEL technique is used to construct the influential relation map among the failure modes and causes of failures. Finally, the AHP approach based on the DEMATEL is utilized to obtain the influential weights and give the prioritization levels for the failure modes. Findings – A case study of diesel engine’s turbocharger system is provided to illustrate the potential application and benefits of the proposed FMEA approach. Results show that the new risk priority model can be effective in helping analysts find the high risky failure modes and create suitable maintenance strategies. Practical implications – The proposed FMEA can overcome the shortcomings and improve the effectiveness of the traditional FMEA. Particularly, the dependence and interactions between different failure modes and effects have been addressed by the new failure analysis method. Originality/value – This paper presents a systemic analytical model for FMEA. It is able to capture the complex interrelationships among various failure modes and effects and provide guidance to analysts by setting the suitable maintenance strategies to improve the safety and reliability of complex systems.


2019 ◽  
Vol 36 (1) ◽  
pp. 67 ◽  
Author(s):  
José María Moreno-Jiménez ◽  
Luis G. Vargas

Este trabajo recoge brevemente el concepto, la evolución histórica y las diferentes escuelas de una de las partes de la Investigación Operativa más fructífera y con mayor difusión de los últimos 45 años: la Decisión Multicriterio. Así mismo, analiza la evolución que el método científico ha seguido en este periodo de tiempo y cuáles son las nuevas orientaciones que presenta en el contexto de la Sociedad del Conocimiento. Finalmente, se incluyen una serie de ideas sobre cuáles pueden ser algunos de los retos futuros en el campo de la toma de decisiones multicriterio (TDMC), en particular en el contexto de una de las aproximaciones más populares: el Proceso Analítico Jerárquico (AHP). Tres problemas fundamentales, ya vislumbrados para esta escuela de pensamiento por su creador, necesitan ser abordados como futuros retos en el campo multicriterio. Este trabajo se ha dedicado a la memoria del profesor Thomas L. Saaty, el autor de AHP y uno de los matemáticos más brillantes e ingeniosos de los últimos 60 años, quien acaba de fallecer en agosto de 2017 a los 91 años de edad.


2019 ◽  
Vol 26 (3) ◽  
Author(s):  
Nilson Brandalise ◽  
Amanda Sexto Alexandre Pereira ◽  
Luiz Carlos Brasil de Brito Mello

Abstract The objective of this article is to select land for commercial buildings in Rio de Janeiro city using multiple criteria decision-making techniques. The techniques used were based on the Analytic Hierarchy Process (AHP) and Fuzzy Logic methods. These methods were chosen because of functionality, flexibility and great application in engineering problems for decision making involving multiple criteria. Its application was made through an opinion survey with expert builders, where 6 (six) factors for evaluation were selected in 10 (ten) commercial land alternatives. For the analytical operation of the methods, the software used were: Super Decisions and MATLAB®, respectively for each method, presenting the factors classified, in order of priority, in the selection of land, and ranking of the alternatives according to the defined scenario, facilitating in this way the process of selection of land for buildings, establishing a scientific way for the decision process.


2010 ◽  
Vol 1 (4) ◽  
pp. 56-75 ◽  
Author(s):  
Sarojini Jajimoggala ◽  
V.V.S. Kesava Rao ◽  
Satyanarayana Beela

Prioritization of equipment is an important factor for decision making to optimize maintenance management in Reliability Centered Maintenance (RCM). Many factors must be considered as part of the prioritization of equipment for maintenance activities. Consequently, evaluation procedures involve several objectives and it is often necessary to compromise among conflicting tangible and intangible factors. Multiple Criteria Decision Making (MCDM) is a useful approach to solve these problems. In this study, a hybrid model is developed for prioritizing the equipment in hybrid flow systems. The first stage involves identifying the criteria. The second stage is prioritizing the different criteria using fuzzy Analytical Network Process (ANP), in which the weight of each criterion is calculated using modified fuzzy Logarithmic Least Square Method (LLSM) to overcome the criticism of inconsistency, unbalanced scale of judgments, uncertainty and imprecision in the pair-wise comparison process, then finally ranking of equipment using fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS).


Author(s):  
Sarojini Jajimoggala ◽  
V. V. S. Kesava Rao ◽  
Satyanarayana Beela

Prioritization of equipment is an important factor for decision making to optimize maintenance management in Reliability Centered Maintenance (RCM). Many factors must be considered as part of the prioritization of equipment for maintenance activities. Consequently, evaluation procedures involve several objectives and it is often necessary to compromise among conflicting tangible and intangible factors. Multiple Criteria Decision Making (MCDM) is a useful approach to solve these problems. In this study, a hybrid model is developed for prioritizing the equipment in hybrid flow systems. The first stage involves identifying the criteria. The second stage is prioritizing the different criteria using fuzzy Analytical Network Process (ANP), in which the weight of each criterion is calculated using modified fuzzy Logarithmic Least Square Method (LLSM) to overcome the criticism of inconsistency, unbalanced scale of judgments, uncertainty and imprecision in the pair-wise comparison process, then finally ranking of equipment using fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS).


2021 ◽  
pp. 1-26
Author(s):  
Muhammad Sarwar Sindhu ◽  
Tabasam Rashid ◽  
Agha Kashif

Aggregation operators are widely applied to accumulate the vague and uncertain information in these days. Hamy mean (HM) operators play a vital role to accumulate the information. HM operators give us a more general and stretchy approach to develop the connections between the arguments. Spherical fuzzy sets (SpFSs), the further extension of picture fuzzy sets (PcFSs) that handle the data in which square sum of membership degree (MD), non-membership degree (NMD) and neutral degree (ND) always lie between closed interval [0, 1]. In the present article, we modify the HM operators like spherical fuzzy HM (SpFHM) operator and weighted spherical fuzzy HM (WSpFHM) operator to accumulate the spherical fuzzy (SpF) information. Moreover, various properties and some particular cases of SpFHM and the WSpFHM operators are discussed in details. Also, to compare the results obtained from the HM operators a score function is developed. Based on WSpFHM operator and score function, a model for multiple criteria decision-making (MCDM) is established to resolve the MCDM problem. To check the significance and robustness of the result, a comparative analysis and sensitivity analysis is also performed.


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