Is Minimax Regret Applicable to Voting Decisions?

1975 ◽  
Vol 69 (3) ◽  
pp. 916-917 ◽  
Author(s):  
Lawrence S. Mayer ◽  
I. J. Good

In a recent article (“The Paradox of Not Voting: A Decision Theoretic Analysis,” APSR, 68 [June, 1974], 525–536) John Ferejohn and Morris Fiorina suggest that a (potential) voter may be rational in deciding whether to vote and yet not use the expected-utility calculus introduced for this purpose by Downs and Tullock and extended by Riker and Ordeshook. The authors suggest that a rational voter, in deciding whether to vote, may use the minimax regret criterion due to the late L. J. Savage. Define the regret of an Act A as the difference, if the true state of nature were known (in advance), between the best expected payoff that could be obtained and the expected payoff that would be obtained by act A. Then the minimax regret criterion requires the decision maker to act in such a way as to minimize the maximum regret that he can suffer.They also discuss the fact that the minimax regret criterion does not require the voter to supply any (objective or subjective) estimates of the probabilities associated with the various outcomes of the election. Thus they feel that it is an attractive criterion for decision making under “uncertainty” as opposed to decision making under “risk.”

Author(s):  
Ryohei Yokoyama ◽  
Koichi Ito

A robust optimal design method based on the minimax regret criterion is proposed for unit sizing of energy supply plants so that they are robust economically against the uncertainty in energy demands. Equipment capacities and utility contract demands as well as energy flow rates are determined to minimize the maximum regret in the annual total cost and to satisfy all the possible energy demands. This optimization problem is formulated as a kind of multilevel linear programming one, and its solution is derived by repeatedly evaluating lower and upper bounds for the optimal value of the maximum regret in the annual total cost. Through a case study on a gas turbine cogeneration plant for district energy supply, it is shown that determining equipment capacities appropriately is more important under uncertain energy demands rather than certain ones. It is also shown that the ratio of power generating capacity to total power supply capacity decreases with an increase of the uncertainty in energy demands.


Author(s):  
Rasol Murtadha Najah

This article discusses the application of methods to enhance the knowledge of experts to build a decision-making model based on the processing of physical data on the real state of the environment. Environmental parameters determine its ecological state. To carry out research in the field of expert assessment of environmental conditions, the analysis of known works in this field is carried out. The results of the analysis made it possible to justify the relevance of the application of analytical, stochastic models and models based on methods of enhancing the knowledge of experts — experts. It is concluded that the results of using analytical and stochastic objects are inaccurate, due to the complexity and poor mathematical description of the objects. The relevance of developing information support for an expert assessment of environmental conditions is substantiated. The difference of this article is that based on the analysis of the application of expert methods for assessing the state of the environment, a fuzzy logic adoption model and information support for assessing the environmental state of the environment are proposed. The formalization of the parameters of decision-making models using linguistic and fuzzy variables is considered. The formalization of parameters of decision-making models using linguistic and fuzzy variables was considered. The model’s description of fuzzy inference is given. The use of information support for environment state assessment is shown on the example of experts assessing of the land desertification stage.


2021 ◽  
Vol 40 (1) ◽  
pp. 235-250
Author(s):  
Liuxin Chen ◽  
Nanfang Luo ◽  
Xiaoling Gou

In the real multi-criteria group decision making (MCGDM) problems, there will be an interactive relationship among different decision makers (DMs). To identify the overall influence, we define the Shapley value as the DM’s weight. Entropy is a measure which makes it better than similarity measures to recognize a group decision making problem. Since we propose a relative entropy to measure the difference between two systems, which improves the accuracy of the distance measure.In this paper, a MCGDM approach named as TODIM is presented under q-rung orthopair fuzzy information.The proposed TODIM approach is developed for correlative MCGDM problems, in which the weights of the DMs are calculated in terms of Shapley values and the dominance matrices are evaluated based on relative entropy measure with q-rung orthopair fuzzy information.Furthermore, the efficacy of the proposed Gq-ROFWA operator and the novel TODIM is demonstrated through a selection problem of modern enterprises risk investment. A comparative analysis with existing methods is presented to validate the efficiency of the approach.


2020 ◽  
Vol 32 (2) ◽  
pp. 159-184 ◽  
Author(s):  
Satoko Fujiwara ◽  
Tim Jensen

Abstract Donald Wiebe claims that the IAHR leadership (already before an Extended Executive Committee (EEC) meeting in Delphi) had decided to water down the academic standards of the IAHR with a proposal to change its name to “International Association for the Study of Religions.” His criticism, we argue, is based on a series of misunderstandings as regards: 1) the difference between the consultative body (EEC) and the decision-making body (EC), 2) the difference between the preliminary points of view of individuals and final proposals by the EC, 3) personal conversations, 4) the link between the proposal to change the name and the wish to tighten up the academic profile of the IAHR. Moreover, if the final decision-making bodies, the International Committee and the General Assembly, adopt the proposal, the new name as little as the old can make the IAHR more or less scientific. Tightening up the academic, scientific profile of the IAHR takes more than a change of name.


2014 ◽  
Vol 4 (1) ◽  
pp. 48 ◽  
Author(s):  
Abdorrahman Haeri ◽  
Kamran Rezaie ◽  
Seyed Morteza Hatefi

In recent years, integration between companies, suppliers or organizational departments attracted much attention. Decision making about integration encounters with major concerns. One of these concerns is which units should be integrated and what is the effect of integration on performance measures. In this paper the problem of decision making unit (DMU) integration is considered. It is tried to integrate DMUs so that the considered criteria are satisfied. In this research two criteria are considered that are mean of efficiencies of DMUs and the difference between DMUs that have largest and smallest efficiencies. For this purpose multi objective particle swarm optimization (MOPSO) is applied. A case with 17 DMUs is considered. The results show that integration has increased both considered criteria effectively.  Additionally this approach can presents different alternatives for decision maker (DM) that enables DM to select the final decision for integration.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hasan Tutar ◽  
Ahmet Tuncay Erdem ◽  
Ömer Karademir

Purpose There has been a rapid generational change in the business world in Turkey recently, and X generation managers are rapidly leaving their place to Y generation managers. In countries with relatively young populations such as Turkey, management in family businesses passes into the hands of Generation Y. This study aims to examine the moderator role of the difference between old and new generation Y in the effect of self-efficacy perceptions on decision-making strategies. Design/methodology/approach This research, which was designed according to the quantitative research method, was designed according to the cross-sectional survey model, one of the general survey models. The research data were collected from a sample of 441 family business managers determined according to the simple random sampling technique. The data were analyzed and interpreted with various statistical techniques. Data analysis was done with AMOS. 20 and International Business Machines statistical package for the social sciences 22 data analysis programs. Findings According to the analysis findings, there is a significant relationship between the participants’ self-efficacy perceptions and decision-making strategies. Research findings old and new generation Y managers have different decision strategies. The research results showed that the dominant self-efficacy perceptions of the Y generation affect their decision-making strategies. Research limitations/implications This research only examines whether the old and new generation Y perceptions have a moderator function in the relationship between the participants’ self-efficacy perceptions and decision-making strategies. The research is quantitative research limited to family businesses. The results can be compared by repeating the research with other variables and in different samples, for example, by researching in public institutions. In addition, the way of reflecting the differences in perception to the management can be subjected to deeper analysis with mixed studies. Practical implications One of the important reasons for the difference in people’s approaches to events is their personality structure. Generational differences, which have been discussed primarily in recent years, make themselves felt in working life. The new working models arising from the different perspectives of the Y generation differ from the traditional business models. Today, in traditional business models, the manager profile is usually the X generation. However, the process is moving toward gaining essential positions in the management levels of the new Y generation. They put traditional managers in a difficult situation with their impatient behavior and desire to climb the career ladder quickly. Social implications In the studies conducted on the Y generation, it is understood that they do not favor the classical management approach based on the command-command relationship. The sense of loyalty of the Y generation is low compared to other generations and their organizational commitment levels are weak. There are determinations that they attach importance to flexible working style and want to do business using digital technologies. They are highly motivated in setting vision and participating in strategic decisions in organizations. These features differ significantly from the X-generation managers who adopt the traditional management approach. Originality/value Both emotional and cognitive characteristics influence decision-making behavior. The generation gap which shows common personality structures in a certain period is an important predictor of decision-making strategy. Research results and related studies significantly affect the decision strategies of the generation gap. No research has been found comparing the old and new Y generations. In this respect, it is thought that the research will contribute to theory, practice and method.


2021 ◽  
pp. 1-16
Author(s):  
Pegah Alizadeh ◽  
Emiliano Traversi ◽  
Aomar Osmani

Markov Decision Process Models (MDPs) are a powerful tool for planning tasks and sequential decision-making issues. In this work we deal with MDPs with imprecise rewards, often used when dealing with situations where the data is uncertain. In this context, we provide algorithms for finding the policy that minimizes the maximum regret. To the best of our knowledge, all the regret-based methods proposed in the literature focus on providing an optimal stochastic policy. We introduce for the first time a method to calculate an optimal deterministic policy using optimization approaches. Deterministic policies are easily interpretable for users because for a given state they provide a unique choice. To better motivate the use of an exact procedure for finding a deterministic policy, we show some (theoretical and experimental) cases where the intuitive idea of using a deterministic policy obtained after “determinizing” the optimal stochastic policy leads to a policy far from the exact deterministic policy.


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