scholarly journals Eliminating Rank Reversal Problem Using a New Multi-Attribute Model—The RAFSI Method

Mathematics ◽  
2020 ◽  
Vol 8 (6) ◽  
pp. 1015 ◽  
Author(s):  
Mališa Žižović ◽  
Dragan Pamučar ◽  
Miloljub Albijanić ◽  
Prasenjit Chatterjee ◽  
Ivan Pribićević
Keyword(s):  
Decision Making ◽  
Real World ◽  
Mathematical Formulation ◽  
Simple Algorithm ◽  
Data Normalization ◽  
Reversal Problem ◽  
Rank Reversal ◽  
Multi Attribute Decision Making ◽  
Attribute Model ◽  
Real World Problems

Multi-attribute decision-making (MADM) methods represent reliable ways to solve real-world problems for various applications by providing rational and logical solutions. In reaching such a goal, it is expected that MADM methods would eliminate inconsistencies like rank reversal issues in a given solution. In this paper, an endeavor is taken to put forward a new MADM method, called RAFSI (Ranking of Alternatives through Functional mapping of criterion sub-intervals into a Single Interval), which successfully eliminates the rank reversal problem. The developed RAFSI method has three major advantages that recommend it for further use: (i) its simple algorithm helps in solving complex real-world problems, (ii) RAFSI method has a new approach for data normalization, which transfers data from the starting decision-making matrix into any interval, suitable for making rational decisions, (iii) mathematical formulation of RAFSI method eliminates the rank reversal problem, which is one of the most significant shortcomings of existing MADM methods. A real-time case study that shows the advantages of RAFSI method is presented. Additional comprehensive analysis, including a comparison with other three traditional MADM methods that use different ways for data normalization and testing the resistance of RAFSI method and other MADM methods to rank the reversal problem, is also carried out.

scholarly journals A note on different types of product of neutrosophic graphs

2021 ◽  
Author(s):  
Kartick Mohanta ◽  
Arindam Dey ◽  
Anita Pal
Keyword(s):  
Decision Making ◽  
Fuzzy Set ◽  
Real World ◽  
Real Life ◽  
Neutrosophic Set ◽  
Total Degree ◽  
Decision Making Problem ◽  
Different Types ◽  
Neutrosophic Graph ◽  
Real World Problems

AbstractFuzzy set and neutrosophic set are two efficient tools to handle the uncertainties and vagueness of any real-world problems. Neutrosophic set is more capable than fuzzy set to deal the uncertainties of a real-life problem. This research paper introduces some new concept of single-valued neutrosophic graph (SVNG). We have also presented some different operations on SVNG such as rejection, symmetric difference, maximal product, and residue product with appropriate examples, and some of their important theorems are also described. Then, we have described the concept of total degree of a neutrosophic graph with some interesting examples. We have also presented an efficient approach to solve a decision-making problem using SVNG.

scholarly journals A NEW LOGARITHM METHODOLOGY OF ADDITIVE WEIGHTS (LMAW) FOR MULTI-CRITERIA DECISION-MAKING: APPLICATION IN LOGISTICS

2021 ◽  
Vol 19 (3) ◽  
pp. 361
Author(s):  
Dragan Pamučar ◽  
Mališa Žižović ◽  
Sanjib Biswas ◽  
Darko Božanić
Keyword(s):  
Decision Making ◽  
Comparative Analysis ◽  
Outcome Variable ◽  
Multi Criteria Decision Making ◽  
Competitive Growth ◽  
Reversal Problem ◽  
Rank Reversal ◽  
Logistics Service Provider ◽  
Operational Metrics

Logistics management has been playing a significant role in ensuring competitive growth of industries and nations. This study proposes a new Multi-Criteria Decision-making (MCDM) framework for evaluating operational efficiency of logistics service provider (LSP). We present a case study of comparative analysis of six leading LSPs in India using our proposed framework. We consider three operational metrics such as annual overhead expense (OE), annual fuel consumption (FC) and cost of delay (CoD, two qualitative indicators such as innovativeness (IN) which basically indicates process innovation and average customer rating (CR)and one outcome variable such as turnover (TO) as the criteria for comparative analysis. The result shows that the final ranking is a combined effect of all criteria. However, it is evident that IN largely influences the ranking. We carry out a comparative analysis of the results obtained from our proposed method with that derived by using existing established frameworks. We find that our method provides consistent results; it is more stable and does not suffer from rank reversal problem.

The Ventromedial Frontal Lobe Contributes to Forming Effective Solutions to Real-world Problems

2017 ◽  
Vol 29 (6) ◽  
pp. 991-1001 ◽  
Author(s):  
Sarah L. Peters ◽  
Lesley K. Fellows ◽  
Signy Sheldon
Keyword(s):  
Decision Making ◽  
Problem Solving ◽  
Frontal Lobe ◽  
Real World ◽  
Initial Step ◽  
Option Generation ◽  
Subjective Value ◽  
Rate Limiting ◽  
Healthy Participants ◽  
Real World Problems

Although the ventromedial frontal lobe (VMF) has been implicated in several complex cognitive tasks such as decision-making and problem solving, the processes for which this region is critical remain unclear. Laboratory studies have largely focused on how the VMF contributes to decision-making when outcomes or options are provided, but in the real world generating appropriate options is likely a crucial and rate-limiting initial step. Here, we determined how VMF damage affected the option generation phase of naturalistic problem solving. A group of patients with VMF damage and two controls groups—age-matched healthy participants and patients with frontal damage sparing VMF—were asked to generate as many options as possible to five scenarios depicting open-ended, real-world problems (e.g., having lunch at a restaurant and forgetting your wallet at home). Both the number of options and the effectiveness of each option generated were examined. Damage to VMF led to a significant reduction in both the number of options produced across all problem-solving scenarios and the ability to generate effective options, most notably for scenarios that were social in nature. We discuss these findings in terms of the mechanisms by which the VMF may contribute to option generation, focusing on proposals suggesting this region is important for integrating subjective value and retrieving schematic representations.

scholarly journals AN OBJECTIVE MULTI-CRITERIA APPROACH TO OPTIMIZATION USING MOORA METHOD AND INTERVAL GREY NUMBERS

2012 ◽  
Vol 18 (2) ◽  
pp. 331-363 ◽  
Author(s):  
Dragisa Stanujkic ◽  
Nedeljko Magdalinovic ◽  
Rodoljub Jovanovic ◽  
Sanja Stojanovic
Keyword(s):  
Decision Making ◽  
Real World ◽  
Operational Research ◽  
The Other ◽  
Previous Period ◽  
Moora Method ◽  
Real World Problems

Many real-world problems are complex and/or related to the manifestation of some form of uncertainty and/or prediction. Therefore the use of extended MCDM methods is more appropriate than the use of the other classic decision making methods. These methods are improved by the use of a form of fuzzy or interval grey numbers. In the field of operational research, during the previous period, numerous MCDM methods were formed, but one newly proposed, the MOORA method, is very specific and yet has no extension. Therefore, in this paper we combine concept of interval grey numbers and MOORA method in order to propose extended MOORA method which will be more appropriate to solve many complex real-world problems.

Tracking Men’s Perceptions of Women’s Sexual Interest

2019 ◽  
Vol 29 (1) ◽  
pp. 71-79
Author(s):  
Teresa A. Treat ◽  
Bob McMurray ◽  
Jodi R. Betty ◽  
Richard J. Viken
Keyword(s):  
Decision Making ◽  
Cognitive Processes ◽  
Real World ◽  
Sexual Interest ◽  
College Men ◽  
Perceptual Decision Making ◽  
Affective Cues ◽  
On Line ◽  
Complex Decision ◽  
Real World Problems

Judging a woman’s current sexual interest in a specific man is a socially and emotionally complex decision. These judgments can be considered a form of perceptual decision-making in which men integrate both affective (emotional) and nonaffective cues. College men at risk of sexual aggression rely less on women’s affective cues and more on nonaffective cues, suggesting that cognitive processes may matter for real-world problems. However, in the real world, people may not have the luxury of waiting for processes to complete before they act. Recent work has used dynamic-competition models of decision-making to examine this problem. These models assume that affective judgments (such as interested vs. rejecting) are partially activated by multiple cues and compete over time. This work, in which mouse tracking is used to index partial decision states, demonstrates that on-line measures predict rape-supportive attitudes over and above off-line (judgment) measures. This offers a new way to understand the cognitive core of an important societal problem.

scholarly journals The Process Of Macroeconomic Decision Making In Democratic And Dictatorial Countries

2013 ◽  
Vol 18 (1) ◽  
pp. 11
Author(s):  
Reza Fadaei ◽  
Gao Feng
Keyword(s):  
Decision Making ◽  
Problem Solving ◽  
Real World ◽  
Developed Countries ◽  
Decision Making Process ◽  
Government Information ◽  
Underdeveloped Countries ◽  
Real World Problems

Real-world problems are usually complicated by many interrelated factors. It is, however, difficult to distinguish between symptoms and problems. To facilitate approaches to problem solving, we must study the organizations input, processes, and outputs. Measuring of productivity, as well as the construction of models, is based upon data and government information. The questions we would like to address in this paper is how the decision making process might take place in developed countries versus how it might take place in underdeveloped countries, and how it might take place in democratic countries versus how it might take place in dictatorial countries?

Bridging Research and Practice in Kinesiology: A Case for Concept Mapping

2017 ◽  
Vol 6 (3) ◽  
pp. 261-270
Author(s):  
Brian J. Souza
Keyword(s):  
Physical Activity ◽  
Decision Making ◽  
Concept Mapping ◽  
Participatory Research ◽  
Real World ◽  
Research Method ◽  
Research And Practice ◽  
Bridging Research And Practice ◽  
Collective Thinking ◽  
Real World Problems

Enhancing translational research in kinesiology requires utilizing diverse research methods. Concept mapping (CM), an applied, participatory research method, brings together stakeholders to address problems. CM involves preparing a project, generating answers to a problem, then structuring, rating, analyzing, representing, and interpreting the data. The results are visual depictions of the stakeholders’ collective thinking about a problem that help facilitate decision-making. In this paper, I describe CM, review CM physical activity projects, discuss opportunities for CM in kinesiology, and detail the limitations of CM. Professionals from the kinesiology subdisciplines can implement CM to facilitate collaboration and generate real-world solutions to real-world problems.

scholarly journals Application of Improved Best Worst Method (BWM) in Real-World Problems

Mathematics ◽  
2020 ◽  
Vol 8 (8) ◽  
pp. 1342 ◽  
Author(s):  
Dragan Pamučar ◽  
Fatih Ecer ◽  
Goran Cirovic ◽  
Melfi A. Arlasheedi
Keyword(s):  
Decision Making ◽  
Renewable Energy ◽  
Real World ◽  
Evaluation Criteria ◽  
Decision Makers ◽  
Multi Criteria Decision Making ◽  
Weight Coefficients ◽  
Best Worst Method ◽  
Real World Problems

The Best Worst Method (BWM) represents a powerful tool for multi-criteria decision-making and defining criteria weight coefficients. However, while solving real-world problems, there are specific multi-criteria problems where several criteria exert the same influence on decision-making. In such situations, the traditional postulates of the BWM imply the defining of one best criterion and one worst criterion from within a set of observed criteria. In this paper, an improvement of the traditional BWM that eliminates this problem is presented. The improved BWM (BWM-I) offers the possibility for decision-makers to express their preferences even in cases where there is more than one best and worst criterion. The development enables the following: (1) the BWM-I enables us to express experts’ preferences irrespective of the number of the best/worst criteria in a set of evaluation criteria; (2) the application of the BWM-I reduces the possibility of making a mistake while comparing pairs of criteria, which increases the reliability of the results; and (3) the BWM-I is characterized by its flexibility, which is expressed through the possibility of the realistic processing of experts’ preferences irrespective of the number of the criteria that have the same significance and the possibility of the transformation of the BWM-I into the traditional BWM (should there be a unique best/worst criterion). To present the applicability of the BWM-I, it was applied to defining the weight coefficients of the criteria in the field of renewable energy and their ranking.

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