The Selection of a Process Management Software with Fuzzy Topsis Multiple Criteria Decision Making Method

2018 ◽  
pp. 150-167
Author(s):  
Arda Yiğit Şen ◽  
Neslihan Semiz ◽  
Buse Güneş ◽  
Duygu Algül ◽  
Zeynep Gergin ◽  
...  
Keyword(s):  
Decision Making ◽  
Process Management ◽  
Multiple Criteria Decision Making ◽  
Fuzzy Topsis ◽  
Multiple Criteria ◽  
Management Software ◽  
Selection Of

scholarly journals Multiple-Criteria Decision-Making and Sensitivity Analysis for Selection of Materials for Knee Implant Femoral Component

Materials ◽  
2021 ◽  
Vol 14 (8) ◽  
pp. 2084
Author(s):  
Raman Kumar ◽  
Rohit Dubey ◽  
Sehijpal Singh ◽  
Sunpreet Singh ◽  
Chander Prakash ◽  
...  
Keyword(s):  
Decision Making ◽  
Sensitivity Analysis ◽  
Femoral Component ◽  
Human Life ◽  
Multiple Criteria Decision Making ◽  
Multiple Criteria ◽  
Biomedical Science ◽  
Human Beings ◽  
Weighted Sum Method ◽  
Selection Of

Total knee replacement (TKR) is a remarkable achievement in biomedical science that enhances human life. However, human beings still suffer from knee-joint-related problems such as aseptic loosening caused by excessive wear between articular surfaces, stress-shielding of the bone by prosthesis, and soft tissue development in the interface of bone and implant due to inappropriate selection of TKR material. The choice of most suitable materials for the femoral component of TKR is a critical decision; therefore, in this research paper, a hybrid multiple-criteria decision-making (MCDM) tactic is applied using the degree of membership (DoM) technique with a varied system, using the weighted sum method (WSM), the weighted product method (WPM), the weighted aggregated sum product assessment method (WASPAS), an evaluation based on distance from average solution (EDAS), and a technique for order of preference by similarity to ideal solution (TOPSIS). The weights of importance are assigned to different criteria by the equal weights method (EWM). Furthermore, sensitivity analysis is conducted to check the solidity of the projected tactic. The weights of importance are varied using the entropy weights technique (EWT) and the standard deviation method (SDM). The projected hybrid MCDM methodology is simple, reliable and valuable for a conflicting decision-making environment.

A multiple-criteria decision-making model for the selection of a hotel location

2019 ◽  
Vol 84 ◽  
pp. 49-58 ◽  
Author(s):  
Gabrijela Popovic ◽  
Dragisa Stanujkic ◽  
Miodrag Brzakovic ◽  
Darjan Karabasevic
Keyword(s):  
Decision Making ◽  
Multiple Criteria Decision Making ◽  
Multiple Criteria ◽  
Decision Making Model ◽  
Selection Of

Multiple-criteria fuzzy group decision-making with multi-choice goal programming for supplier selection: A case study

2019 ◽  
Vol 11 (03) ◽  
pp. 1950029
Author(s):  
Ashoke Kumar Bera ◽  
Dipak Kumar Jana ◽  
Debamalya Banerjee ◽  
Titas Nandy
Keyword(s):  
Decision Making ◽  
Goal Programming ◽  
Supplier Selection ◽  
Multiple Criteria Decision Making ◽  
Fuzzy Topsis ◽  
Multiple Criteria ◽  
Linguistic Variables ◽  
Manufacturing Organization ◽  
Fuzzy Group Decision Making

In today’s highly turbulent and competitive environment, the success of the organization depends on the performance of its suppliers. However, supplier selection problems are complex as they involve a large number of criteria and, frequently, some of the criteria cannot be evaluated precisely. Moreover, fluctuations of supplier performances and unknown information always exist in real-world decision-making. It is a complex multiple-criteria decision-making (MCDM) problem as it involves a trade-off among various criteria with vagueness and imprecision and also involves a group of experts with diverse opinion. Therefore, to make more practical decisions, this paper is intended to propose an integrated technique for order preference by similarity to ideal solution (TOPSIS) in fuzzy environment with multi-choice goal programming (MCGP) to handle the supplier assessment and order allocation for a battery manufacturing organization. Using linguistic variables, the decision-makers assess the rating of suppliers as well as the importance of various factors. Linguistic variables are expressed in trapezoidal fuzzy numbers (TrFN). Fuzzy-TOPSIS method is proposed to obtain the rank of suppliers and MCGP method is used to allocate suitable orders to the selected suppliers. A case study is implemented to find the applicability and validity of the proposed model. Finally, sensitivity analysis is performed to observe the effect of weights of criteria on supplier evaluation problem.

scholarly journals Systematic Approach for the selection of monitoring technologies in CO2 geological storage projects. Application of multicriteria decision making

2013 ◽  
Vol 16 (1) ◽  
pp. 36-42
Keyword(s):  
Decision Making ◽  
Co2 Storage ◽  
Multiple Criteria Decision Making ◽  
Multicriteria Decision Making ◽  
Multiple Criteria ◽  
Simultaneous Optimization ◽  
Case Scenario ◽  
Multicriteria Decision ◽  
Measurement Monitoring ◽  
Selection Of

<p>Geologic storage of carbon dioxide (CO2) has been proposed as a viable means for reducing anthropogenic CO2 emissions. Once injection begins, a program for measurement, monitoring, and verification (MMV) of CO2 distribution is required in order to: a) research key features, effects and processes needed for risk assessment; b) manage the injection process; c) delineate and identify leakage risk and surface escape; d) provide early warnings of failure near the reservoir; and f) verify storage for accounting and crediting. The selection of the methodology of monitoring (characterization of site and control and verification in the post-injection phase) is influenced by economic and technological variables. Multiple Criteria Decision Making (MCDM) refers to a methodology developed for making decisions in the presence of multiple criteria. MCDM as a discipline has only a relatively short history of 40 years, and it has been closely related to advancements on computer technology. Evaluation methods and multicriteria decisions include the selection of a set of feasible alternatives, the simultaneous optimization of several objective functions, and a decision-making process and evaluation procedures that must be rational and consistent. The application of a mathematical model of decision-making will help to find the best solution, establishing the mechanisms to facilitate the management of information generated by number of disciplines of knowledge. Those problems in which decision alternatives are finite are called Discrete Multicriteria Decision problems. Such problems are most common in reality and this case scenario will be applied in solving the problem of site selection for storing CO2. Discrete MCDM is used to assess and decide on issues that by nature or design support a finite number of alternative solutions. Recently, Multicriteria Decision Analysis has been applied to hierarchy policy incentives for CCS, to assess the role of CCS, and to select potential areas which could be suitable to store. For those reasons, MCDM have been considered in the monitoring phase of CO2 storage, in order to select suitable technologies which could be techno-economical viable. In this paper, we identify techniques of gas measurements in subsurface which are currently applying in the phase of characterization (pre-injection); MCDM will help decision-makers to hierarchy the most suitable technique which fit the purpose to monitor the specific physic-chemical parameter.</p>

scholarly journals Aid application multicriteria the decision based on AHP Method and Fuzzy Logic in commercial land selection

2019 ◽  
Vol 26 (3) ◽  
Author(s):  
Nilson Brandalise ◽  
Amanda Sexto Alexandre Pereira ◽  
Luiz Carlos Brasil de Brito Mello
Keyword(s):  
Decision Making ◽  
Fuzzy Logic ◽  
Multiple Criteria Decision Making ◽  
Multiple Criteria ◽  
Ahp Method ◽  
Analytic Hierarchy ◽  
Engineering Problems ◽  
Hierarchy Process ◽  
Analytical Operation ◽  
Selection Of

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.

scholarly journals Multiple criteria decision making with life cycle assessment for material selection of composites

2011 ◽  
Vol 5 (12) ◽  
pp. 1062-1074 ◽  
Author(s):  
A. S. Milani ◽  
C. Eskicioglu ◽  
K. Robles ◽  
K. Bujun ◽  
H. Hosseini-Nasab
Keyword(s):  
Decision Making ◽  
Life Cycle Assessment ◽  
Life Cycle ◽  
Material Selection ◽  
Multiple Criteria Decision Making ◽  
Multiple Criteria ◽  
Selection Of

scholarly journals MULTIPLE CRITERIA SELECTION OF PILE-COLUMN CONSTRUCTION TECHNOLOGY

2012 ◽  
Vol 18 (6) ◽  
pp. 834-842 ◽  
Author(s):  
Edmundas Kazimieras Zavadskas ◽  
Saulius Sušinskas ◽  
Alfonsas Daniūnas ◽  
Zenonas Turskis ◽  
Henrikas Sivilevičius
Keyword(s):  
Decision Making ◽  
Multiple Criteria Decision Making ◽  
Multiple Criteria ◽  
Soil Conditions ◽  
Natural Soil ◽  
Construction Technology ◽  
In Situ Investigation ◽  
Pile Column ◽  
Decision Making Model ◽  
Selection Of

Numerous alternatives exist for foundation systems and construction technologies. The systems can be described by different criteria values which are incorporated in the conventional design process. Decision on the most suitable construction technology is vital for success and depends on many effectiveness criteria. The business success depends on the right choice. The mandate of a construction management researcher is to use rational, systematic, science-based techniques to inform and improve various decisions. The paper presents multiple criteria decision making model for selection of a pile-column technology. The technological criteria are determined by an experimental study. Based on in-situ investigation of natural soil conditions, criteria values are determined. The decision making model incorporates five different methods and techniques. To solve a problem, it uses three multiple criteria decision making methods. Integrated criteria weights are determined by using the analytic hierarchy process and the expert judgement method. This model could be used to solve complicated problems pertaining to the selection of a construction technology.

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