Decision-making processes of non-life insurance pricing using fuzzy logic and OWA operators

Setting a commercial premium for an insurance policy is a complex process, even, though statistical tools provide fairly reliable information on the behavior of the frequency and cost of claims differentiated by risk profiles reflected in pure premium calculations. However lately setting the price the customer must pay has not been easy, because of the uncertainty of, having to use subjective criteria to analyze how demand may be affected by different price alternatives and economic situations. This article aims to develop this process in two stages. The first stage is carried out with the opinion of experts applied to uncertain numbers and Ordered Weighted Average (OWA) operators to assess the overall benefits of each profile to choose the best alternative. The second stage, which uses Heavy OWA (HOWA) operators, is based on the results obtained in the first stage and chooses a general price alternative for all profiles

Uncertain averaging operators: a new way to study the psychosocial organizational phenomena

The aim of this paper is to use uncertain averaging operators (Uncertain Average, Uncertain Weighted Average, Uncertain Probabilistic Aggregation, and Uncertain Probabilistic Weighted Average) in order to explore psychosocial processes. Traditionally, research in the field of work and organizational psychology has departed from positivism, based on simple deterministic laws that are unable to account for the complexity of organizational phenomena. Our purpose is to show how the Experton methodology contributes to the study of managers' subjectivity on their perception of Corporate Social Responsibility policies development. This is a very innovating perspective in the research of work and organizational psychology. We developed an interview guideline to analyze the level of development of policies for the workplace integration of persons with disabilities. Thirty-five interviews were obtained. Respondents were top managers, Chief Executive Officers, human resources and Corporate Social Responsibility managers. Ten academic and professional experts, with a minimum of 10 years' experience in the field of Corporate Social Responsibility, were asked to establish confidence intervals based on four anchors. The results achieved by the managers and by the experts group reached a similar assessment of the degree of deployment of those policies related to collaborate with the local community and associations, and the setting-up of strategic alliances. These techniques provide an assessment that optimizes the result, as it indicates the exact level of implementation of the policies for the workplace integration of persons with disabilities

Intuitionistic fuzzy generalized probabilistic ordered weighted averaging operator and its application to group decision making

In this paper, we present the intuitionistic fuzzy generalized probabilistic ordered weighted averaging (IFGPOWA) operator. It is a new aggregation operator that uses generalized means in a unified model between the probability and the OWA operator. The main advantage of this new operator is that it is able to deal with probabilities (objective information) and ordered weighted averages (subjective information) in the same formulation. Moreover, it is also able to deal with uncertain environments that can be assessed with intuitionistic fuzzy numbers. Furthermore, it uses generalized means providing a very general formulation that includes a wide range of situations. We study some of its main properties and particular cases such as the generalized intuitionistic fuzzy ordered weighted averaging (GIFOWA) operator and intuitionistic fuzzy probabilistic ordered weighted averaging (IFPOWA) operator. We end the paper by applying the new operator to a group decision making problem concerning the selection of investments. First published online: 26 Jun 201

The Uncertain generalized probabilistic weighted average and its application in the theory of expertons

A new model for dealing with decision making under risk by considering subjective and objective information in the same formulation is here presented. The uncertain probabilistic weighted average (UPWA) is also presented. Its main advantage is that it unifies the probability and the weighted average in the same formulation and considering the degree of importance that each case has in the analysis. Moreover, it is able to deal with uncertain environments represented in the form of interval numbers. We study some of its main properties and particular cases. The applicability of the UPWA is also studied and it is seen that it is very broad because all the previous studies that use the probability or the weighted average can be revised with this new approach. Focus is placed on a multi-person decision making problem regarding the selection of strategies by using the theory of expertons

The Uncertain generalized probabilistic weighted average and its application in the theory of expertons

A new model for dealing with decision making under risk by considering subjective and objective information in the same formulation is here presented. The uncertain probabilistic weighted average (UPWA) is also presented. Its main advantage is that it unifies the probability and the weighted average in the same formulation and considering the degree of importance that each case has in the analysis. Moreover, it is able to deal with uncertain environments represented in the form of interval numbers. We study some of its main properties and particular cases. The applicability of the UPWA is also studied and it is seen that it is very broad because all the previous studies that use the probability or the weighted average can be revised with this new approach. Focus is placed on a multi-person decision making problem regarding the selection of strategies by using the theory of expertons