A DECISION MODEL PROPOSAL IN CASE OF UNCERTAINTY: PHOTOCOPY MACHINE SELECTION WITH ENTROPY-BASED ELECTRE III METHOD

2021 ◽  
Vol 6 (11) ◽  
pp. 82-92
Author(s):  
Engin KARAKIŞ
Keyword(s):  
Decision Making ◽  
Decision Problem ◽  
Decision Model ◽  
Entropy Method ◽  
Decision Problems ◽  
Suitable Alternative ◽  
Electre Iii ◽  
Machine Selection ◽  
Technological Developments ◽  
Fast Decision

Decision making is getting more complex and difficult in our daily life and business life. However, correct and fast decision making is the first condition of managing and directing. The complexity and uncertainty in decision problems have increased as a result of technological developments and changes in consumer demands. Most of the decision problems encountered contain many criteria. Multi-Criteria Decision Making (MCDM) is to choose the most suitable alternative among many alternatives according to more than one determined criteria. Various methods have been developed for the solution of multi-criteria decision problems. ELECTRE III (ELimination Et Choice Translating REality) method, one of these methods, is one of the most widely used methods. The ELECTRE III method is a method used in the solution of decision problems involving uncertainty. In this study, the ELECTRE III method and its properties have been examined with an application. For this purpose, the problem of photocopy machine selection was examined with the ELECTRE III method in this study. The ENTROPY method was used to determine the weights of the criteria used in the decision problem and the ELECTRE III method was used to rank the copier machine options.

scholarly journals A comparison of TOPSIS, grey relational analysis and COPRAS methods for machine selection problem in the food industry of Turkey

2021 ◽  
Vol 9 (2) ◽  
pp. 81
Author(s):  
Sami Özcan ◽  
Ali Kemal Çelik
Keyword(s):  
Decision Making ◽  
Grey Relational Analysis ◽  
Entropy Method ◽  
Sensitivity Analyses ◽  
Food Sector ◽  
Relational Analysis ◽  
Machine Selection ◽  
Order Preference ◽  
Topsis Technique ◽  
Grey Relational

<div data-canvas-width="540.0693333333334">The paper aims to compare the results of the selection/choice of cream separators by using multi-criteria decision-making methods in an integrated manner for an enterprise with a dairy processing capacity of 80 to 100 tons per day operating in the Turkish food sector. A total of 7 alternative products and 7 criteria for milk processing were determined. Criterion weights were calculated using entropy method and then integrated into TOPSIS (Technique for Order Preference by Similarity to Ideal Solutions), GRA (Grey Relational Analysis) and COPRAS (Complex Proportional Assessment) methods. Sensitivity analyses were carried out on the results obtained from the three methods to check for their reliability. At the end of the study, similar alternative and appropriate results were found from the TOPSIS and COPRAS methods. However, different alternative but appropriate or suitable results were obtained from the GRA method. Sensitivity analysis of the three methods showed that all the methods used were valid. In the review of available and related literature, very few studies on machine selection in the dairy and food sector in general were found. For this reason, it is thought that the study will contribute to the decision-making process of companies in the dairy sector in their choice of machinery selections. As far as is known, this paper is the first attempt in extant literature to compare in an integrated manner the results of TOPSIS, COPRAS and GRA methods considered in the study.</div>

Anton's Game: Deontological Decision Theory for an Iterated Decision Problem

Utilitas ◽  
2016 ◽  
Vol 29 (1) ◽  
pp. 88-109 ◽  
Author(s):  
SETH LAZAR
Keyword(s):  
Decision Making ◽  
Decision Theory ◽  
Decision Problem ◽  
Expected Value ◽  
Sunk Costs ◽  
Decision Problems ◽  
Decision Making Under Uncertainty ◽  
Moral Reasons ◽  
Moral Significance

How should deontologists approach decision-making under uncertainty, for an iterated decision problem? In this article I explore the shortcomings of a simple expected value approach, using a novel example to raise questions about attitudes to risk, the moral significance of tiny probabilities, the independent moral reasons against imposing risks, the morality of sunk costs, and the role of agent-relativity in iterated decision problems.

scholarly journals A λ-CUT APPROXIMATE ALGORITHM FOR GOAL-BASED BILEVEL RISK MANAGEMENT SYSTEMS

2008 ◽  
Vol 07 (04) ◽  
pp. 589-610 ◽  
Author(s):  
YA GAO ◽  
GUANGQUAN ZHANG ◽  
JIE LU ◽  
THARAM DILLON ◽  
XIANYI ZENG
Keyword(s):  
Decision Problem ◽  
Decision Model ◽  
Solution Procedure ◽  
Decision Makers ◽  
Approximate Algorithm ◽  
Decision Problems ◽  
Management Systems ◽  
Programming Techniques ◽  
Cut Set ◽  
Fuzzy Goal

Bilevel programming techniques are developed for decentralized decision problems with decision makers located in two levels. Both upper and lower decision makers, termed as leader and follower, try to optimize their own objectives in solution procedure but are affected by those of the other levels. When a bilevel decision model is built with fuzzy coefficients and the leader and/or follower have goals for their objectives, we call it fuzzy goal bilevel (FGBL) decision problem. This paper first proposes a λ-cut set based FGBL model. A programmable λ-cut approximate algorithm is then presented in detail. Based on this algorithm, a FGBL software system is developed to reach solutions for FGBL decision problems. Finally, two examples are given to illustrate the application of the proposed algorithm.

When is a Decision-Making Method Trustworthy? Criteria for Evaluating Multi-Criteria Decision-Making Methods

2015 ◽  
Vol 14 (06) ◽  
pp. 1171-1187 ◽  
Author(s):  
Thomas L. Saaty ◽  
Daji Ergu
Keyword(s):  
Decision Making ◽  
Comparative Analysis ◽  
Decision Problem ◽  
Decision Makers ◽  
Decision Problems ◽  
Practical Reasons ◽  
Multi Criteria Decision Making ◽  
Analysis And Evaluation ◽  
Better Than

Decision makers often face complicated decision problems with intangible and conflicting criteria. Numerous multi-criteria decision-making (MCDM) methods have been proposed to handle the measurement of the priorities of conflicting tangible/intangible criteria and in turn use them to choose the best alternative for a decision. However, the presence of many MCDM methods bewilders users. The existence of these methods becomes a decision problem in itself, and decision makers may be uncertain about which one to use. Thus the comparative analysis and evaluation of various MCDM methods has come under scrutiny by both researchers and practitioners in order to discover if there are logical, mathematical, social or practical reasons why one method is better than another. Criteria for their evaluation are the first important issue that needs to be resolved. In this paper, 16 criteria are introduced that may be used to judge and evaluate various MCDM methods. The criteria proposed and some guidelines for their evaluation are given to help readers evaluate these MCDM methods.

AN EXTENDED BRANCH AND BOUND ALGORITHM FOR BILEVEL MULTI-FOLLOWER DECISION MAKING IN A REFERENTIAL-UNCOOPERATIVE SITUATION

2007 ◽  
Vol 06 (02) ◽  
pp. 371-388 ◽  
Author(s):  
JIE LU ◽  
CHENGGEN SHI ◽  
GUANGQUAN ZHANG ◽  
DA RUAN
Keyword(s):  
Decision Making ◽  
Branch And Bound ◽  
Decision Problem ◽  
Decision Model ◽  
Branch And Bound Algorithm ◽  
Upper Level ◽  
Multiple Followers ◽  
Cross Reference

Within the framework of any bilevel decision problem, a leader's decision at the upper level is influenced by the reaction of their follower at the lower level. When multiple followers are involved in a bilevel decision problem, the leader's decision will not only be affected by the reactions of those followers, but also by the relationships among those followers. One of the popular situations within this framework is where these followers are uncooperatively making decisions while having cross reference of decision information, called a referential-uncooperative situation in this paper. The well-known branch and bound algorithm has been successfully applied to a one-leader-and-one-follower linear bilevel decision problem. This paper extends this algorithm to deal with the above-mentioned linear bilevel multi-follower decision problem by means of a linear referential-uncooperative bilevel multi-follower decision model. It then proposes an extended branch and bound algorithm to solve this problem with a set of illustrative examples in a referential-uncooperative situation.

scholarly journals CONCEPTUAL DECISION MODEL

2014 ◽  
pp. 69-73
Author(s):  
Miki Sirola
Keyword(s):  
Decision Making ◽  
Decision Problem ◽  
Decision Model ◽  
Numerical Algorithms ◽  
Fine Tuning ◽  
Computer Application ◽  
Decision Table ◽  
Case Examples ◽  
Numerical Result ◽  
Decision Attributes

Decision making is mostly based on decision concepts and decision models built in decision support systems. Type of decision problem determines application. This paper presents a conceptual decision model that utilises rule- based methodologies, numerical algorithms and procedures, statistical methodologies including distributions, and visual support. Selection of used decision concepts is based on case-based needs. Fine tuning of the model is done during construction of the computer application and analysis of the case examples. A kind of decision table is built including pre-filtered decision options and carefully chosen decision attributes. Each attribute is weighted, decision table values are given, and finally total score is calculated. This is done with a many-step procedure including various elements. The computer application is built on G2 platform. The case example choice of career is analysed in detail. The developed prototype should be considered mostly as an advisory tool in decision making. More important than the numerical result of the analysis is to learn about the decision problem. Evaluation expertise is needed in the development process. The model constructed is a kind of completed multi-criteria decision analysis concept. This paper is also an example of using a theoretical methodology in solving a practical problem.

The Some of the MADM Method Behaviors Versus Incomparability

2017 ◽  
Vol 7 (3) ◽  
pp. 52-72 ◽  
Author(s):  
Mohammad Azadfallah
Keyword(s):  
Decision Making ◽  
Decision Problem ◽  
Multiple Attribute Decision Making ◽  
Decision Problems ◽  
Promethee Ii ◽  
Multiple Attribute

One of the advantages of the PROMETHEE I method is to bring out such incomparability's. Incomparability mostly means that the analysis of the decision problem does not permit to identify a relation of overall preference or indifference between two or more alternatives. Since, in this paper we intend to use of these properties to examination of the some of Multiple Attribute Decision Making (MADM) method (i.e., PROMETHEE II, AHP, TOPSIS, and ELECTRE) behaviors versus incomparability. It is hardly possible to evaluate the behavior of the various MADM models versus incomparability. Because, the different model reflects a different approach to solve the same decision problems. Therefore, we proposed an empirically testable index Distance of rank positions. Then, the different MADM method behaviors are examined. The results indicated that, the solution provided by AHP is more effective than others.

Applying the Multi-Criteria Decision Making Model for Ranking Commercial Banks: The Case of Vietnam

2019 ◽  
pp. 125-133
Author(s):  
Duong Truong Thi Thuy ◽  
Anh Pham Thi Hoang
Keyword(s):  
Decision Making ◽  
Commercial Banks ◽  
Decision Model ◽  
Business Models ◽  
Multi Criteria Decision Making ◽  
Ideal Solution ◽  
Topsis Method ◽  
Decision Making Model

Banking has always played an important role in the economy because of its effects on individuals as well as on the economy. In the process of renovation and modernization of the country, the system of commercial banks has changed dramatically. Business models and services have become more diversified. Therefore, the performance of commercial banks is always attracting the attention of managers, supervisors, banks and customers. Bank ranking can be viewed as a multi-criteria decision model. This article uses the technique for order of preference by similarity to ideal solution (TOPSIS) method to rank some commercial banks in Vietnam.

Logical Decision Problems and Complexity of Logic Programs

1987 ◽  
Vol 10 (1) ◽  
pp. 1-33
Author(s):  
Egon Börger ◽  
Ulrich Löwen
Keyword(s):  
Fixed Point ◽  
Computational Complexity ◽  
Decision Problem ◽  
Decision Problems ◽  
Complexity Classes ◽  
Logic Programs ◽  
Finite Structures ◽  
Syntactic Restrictions

We survey and give new results on logical characterizations of complexity classes in terms of the computational complexity of decision problems of various classes of logical formulas. There are two main approaches to obtain such results: The first approach yields logical descriptions of complexity classes by semantic restrictions (to e.g. finite structures) together with syntactic enrichment of logic by new expressive means (like e.g. fixed point operators). The second approach characterizes complexity classes by (the decision problem of) classes of formulas determined by purely syntactic restrictions on the formation of formulas.

scholarly journals Determinant Factors in Personal Decision-Making to Adopt COVID-19 Prevention Measures in Chile

2021 ◽  
Vol 18 (15) ◽  
pp. 8131
Author(s):  
Karina Fernanda Gonzalez ◽  
Maria Teresa Bull ◽  
Sebastian Muñoz-Herrera ◽  
Luis Felipe Robledo
Keyword(s):  
Decision Making ◽  
Decision Model ◽  
Protective Action ◽  
Prevention Measures ◽  
Protective Measures ◽  
Protective Action Decision Model ◽  
Exploratory Survey ◽  
Relevant Variables ◽  
Personal Decision ◽  
Action Decision

The pandemic has challenged countries to develop stringent measures to reduce infections and keep the population healthy. However, the greatest challenge is understanding the process of adopting self-care measures by individuals in different countries. In this research, we sought to understand the behavior of individuals who take self-protective action. We selected the risk homeostasis approach to identify relevant variables associated with the risk of contagion and the Protective Action Decision Model to understand protective decision-making in the pandemic. Subsequently, we conducted an exploratory survey to identify whether the same factors, as indicated in the literature, impact Chile’s adoption of prevention measures. The variables gender, age, and trust in authority behave similarly to those found in the literature. However, socioeconomic level, education, and media do not impact the protection behaviors adopted to avoid contagion. Furthermore, the application of the Protective Action Decision Model is adequate to understand the protective measures in the case of a pandemic. Finally, women have a higher risk perception and adopt more protective measures, and in contrast, young people between 18 and 30 years of age are the least concerned about COVID-19 infection.

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