scholarly journals A  linear programming technique to solve fuzzy multiple criteria decision making problems with an application

2020 ◽  
Author(s):  
S.A. Sadabadi ◽  
A. Hadi-Vencheh ◽  
A. Jamshidi ◽  
M. Jalali
Keyword(s):  
Decision Making ◽  
Linear Programming ◽  
Linear Models ◽  
Multiple Criteria Decision Making ◽  
Multiple Criteria ◽  
Radius Of Gyration ◽  
Programming Technique ◽  
Weighting Method ◽  
Practical Applications ◽  
Simple Additive Weighting

Generally, in real world multiple criteria decision making (MCDM) problems, we concern with inaccurate data. This paper transforms a fuzzy multiple criteria decision making (FMCDM) problem into three linear programming models based on simple additive weighting method (SAW). The new linear models calculate fuzzy performance scores for each alternative. To rank the alternatives, the numerical value of the area between the Radius of Gyration (ROG) and original points of the given fuzzy numbers is used. Finally, we illustrate the practical applications of the proposed method in selection an industrial zone for construct dairy products factory.

scholarly journals Optimization of a Multiple Injection System in a Marine Diesel Engine through a Multiple-Criteria Decision-Making Approach

2020 ◽  
Vol 8 (11) ◽  
pp. 946 ◽  
Author(s):  
Maria Isabel Lamas ◽  
Laura Castro-Santos ◽  
Carlos G. Rodriguez
Keyword(s):  
Decision Making ◽  
Standard Deviation ◽  
Diesel Engine ◽  
Multiple Criteria Decision Making ◽  
Entropy Method ◽  
Multiple Criteria ◽  
Injection System ◽  
Marine Diesel Engine ◽  
Weighting Method ◽  
Marine Diesel

In this work, a numerical model was developed to analyze the performance and emissions of a marine diesel engine, the Wärtsilä 6L 46. This model was validated using experimental measurements and was employed to analyze several pre-injection parameters such as pre-injection rate, duration, and starting instant. The modification of these parameters may lead to opposite effects on consumption and/or emissions of nitrogen oxides (NOx), carbon monoxide (CO), and hydrocarbons (HC). According to this, the main goal of the present work is to employ a multiple-criteria decision-making (MCDM) approach to characterize the most appropriate injection pattern. Since determining the criteria weights significantly influences the overall result of a MCDM problem, a subjective weighting method was compared with four objective weighting methods: entropy, CRITIC (CRiteria Importance Through Intercriteria Correlation), variance, and standard deviation. The results showed the importance of subjectivism over objectivism in MCDM analyses. The CRITIC, variance, and standard deviation methods assigned more importance to NOx emissions and provided similar results. Nevertheless, the entropy method assigned more importance to consumption and provided a different injection pattern.

scholarly journals Fuzzy Integral Multiple Criteria Decision Making Method Based on Fuzzy Preference Relation on Alternatives

2016 ◽  
Vol 4 (3) ◽  
pp. 280-290 ◽  
Author(s):  
Qiaojiao Zhao ◽  
Ling Zeng ◽  
Jinjin Liu
Keyword(s):  
Decision Making ◽  
Linear Programming ◽  
Programming Model ◽  
Preference Relation ◽  
Multiple Criteria Decision Making ◽  
Fuzzy Relation ◽  
Multiple Criteria ◽  
Fuzzy Integral ◽  
Fuzzy Preference Relation ◽  
Preference Information

AbstractA new method is proposed to solve the multiple criteria decision making with interacting criteria, where the preference information on alternatives in a fuzzy relation given by the decision maker. On the basis of the decision maker’s preference information, two types of models — the least squares model, the linear programming model — are constructed to determine the capacities and then to select the most desirable alternative. Finally, a numerical example is used to illustrate the validity and practicality of the proposed method.

scholarly journals A CRITERION UTILITY CONVERSION TECHNIQUE FOR PROBABILISTIC LINGUISTIC MULTIPLE CRITERIA ANALYSIS IN EMERGENCY MANAGEMENT

2021 ◽  
Vol 0 (0) ◽  
pp. 1-20
Author(s):  
Rui Qin ◽  
Huchang Liao ◽  
Lisheng Jiang
Keyword(s):  
Linear Programming ◽  
Multiple Criteria Decision Making ◽  
Multiple Criteria ◽  
Multidimensional Analysis ◽  
Conversion Process ◽  
Programming Technique ◽  
Probabilistic Linguistic Term Set ◽  
Emergency Logistics ◽  
Trade Offs ◽  
Set Up

In multiple criteria decision making (MCDM), the even swaps method uses the relationships of criteria to make trade-offs but the burdens of experts are heavy; the linear programming technique for multidimensional analysis of preference (LINMAP) method cannot deal with the inter-dependencies among criteria but the cognitive burdens of experts are low. Taking the advantages of both these methods, this study proposes a criterion utility conversion (CUC) technique to solve probabilistic linguistic MCDM problems given that the probabilistic linguistic term set (PLTS) can reflect the psychology of experts when making evaluations. The utility conversion process is first proposed based on the marginal utilities of criteria. Then, the criterion preference ratios of experts are refined from the utility conversion process. Based on the criterion preference ratios and the operations of PLTSs, the adjusted probabilistic linguistic expected values of alternatives are calculated. The consistency and inconsistency indexes of alternatives and criteria are defined to set up the linear programming used to work out the criterion preference ratios. An illustration about the selection of emergency logistics supplier is given to validate the proposed method. The comparative analysis indicates the low cognitive burden, high stability, and strong applicability of the proposed method.

scholarly journals APPLICATION OF FUZZY MULTIPLE CRITERIA DECISION MAKING (MCDM) IN SELECTION OF PROSPECTIVE EMPLOYEES

JOURNAL ASRO ◽  
2019 ◽  
Vol 10 (1) ◽  
pp. 10
Author(s):  
Sutrisno Sutrisno ◽  
Sutikno Wahyu Hidayat ◽  
Avando Bastari ◽  
Okol Sri Suharyo
Keyword(s):  
Decision Making ◽  
Selection Process ◽  
Multiple Criteria Decision Making ◽  
Multiple Criteria ◽  
Recruitment Process ◽  
Weighting Method ◽  
Test Application ◽  
Selection Test ◽  
Selection Factors ◽  
A Company

The recruitment process is the initial process that determines the sustainability and success of a company. In the process, effective and efficient selection tests are the key. The level of professionalism and academic ability of prospective employees are two things that are very much needed as a reference and criteria that are used as selection factors in the recruitment process. This study uses the Fuzzy Multiple Criteria Decision Making (MCDM) method by solving problems using the Simple Addictive Weighting Method (SAW). The use of this method is expected to produce an electronic selection test application that can help the recruitment team in carrying out the selection process at PT. X. The results of the research are in the form of prospective employee selection test applications to simplify the process of selecting prospective employees according to their needs.  Keywords: Selection Test, Application, FMCDM, SAW

scholarly journals SENSOR SELECTION COMPARISON BETWEEN FUZZY TOPSIS ALGORITHM AND SIMPLE ADDITIVE WEIGHTING ALGORITHM IN AUTOMATIC INFUSE MONITORING SYSTEM APPLICATION

SINERGI ◽  
2020 ◽  
Vol 24 (3) ◽  
pp. 207
Author(s):  
Setiyo Budiyanto ◽  
Galang Persada Nurani Hakim ◽  
Ahmad Firdausi ◽  
Fajar Rahayu I. M
Keyword(s):  
Decision Making ◽  
Monitoring System ◽  
System Application ◽  
Low Cost ◽  
Multiple Criteria Decision Making ◽  
Fuzzy Topsis ◽  
Multiple Criteria ◽  
Sensor Selection ◽  
Simple Additive Weighting

One of the critical equipment to support a patient in the hospital would be an infuse system. One of the main problems with the infuse system was manual monitoring. Few researchers try to build a low cost infuse system using a low-cost sensor and microcontroller. This paper proposes a fuzzy Topsis algorithm and Simple Additive Weighting (SAW) algorithm to choose the best sensor for a low cost to the infuse system, which is one of the Multiple Criteria Decision Making (MCDM) problems. Several simulations using three sensors, such as LDR (photoresistor), phototransistor, and photodiode, are performed. By using these two algorithms, it can be shown that the phototransistor emerges as the best sensor with value 1, even though it has the price six times higher from the LDR sensor and three times higher from the photodiode.

An Interval Based Score Method for Multiple Criteria Decision Making Problems

2019 ◽  
Vol 18 (05) ◽  
pp. 1667-1687
Author(s):  
S. Saffarzadeh ◽  
A. Hadi-Vencheh ◽  
A. Jamshidi
Keyword(s):  
Decision Making ◽  
Linear Programming ◽  
Linear Optimization ◽  
Multiple Criteria Decision Making ◽  
Multiple Criteria ◽  
Optimization Approach ◽  
Interval Numbers ◽  
Common Set Of Weights ◽  
Score Method ◽  
Linear Programming Problems

In this paper, a linear optimization approach to solve multiple criteria decision making (MCDM) problems is presented. For this purpose, two linear programming problems are proposed in the most favorable and least favorable senses. Then, an overall score as an interval number for each alternative is obtained. The lower bound is the score in the most favorable sense and its upper bound is the performance in the least favorable sense. The order of all alternatives is ranked in descending order in accordance with these interval numbers using the concept of degree of possibility. This study makes three major contributions. First, the proposed method employs linear programming (LP) technique to solve MCDM problems. Second, the common set of weights are utilized to solve the proposed LP models. Finally, the presented approach incorporates the decision maker preferences in decision making process.

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