Journal impact is an ill-structured, complex construct. Present bibliometric and survey measures ... more Journal impact is an ill-structured, complex construct. Present bibliometric and survey measures do not capture it fully. The paper deconstructs the combinatorial complexity of the construct using an ontology which encapsulates 2500 potential components of the construct. The ontology is a parsimonious, systemic, and systematic representation of journal impact. The paper presents an ontological analysis of the impact aspirations of 31 top MIS journals (from one of the published surveys) based on their editorial statements. These statements were mapped to the ontology by the authors using consensus coding. The ontological and heat maps derived from the editorial statements reveal significant ‘bright’, ‘light’, and ‘blank/blind’ spots – aspects with heavy, light, and no emphasis. The differences in luminosity pose a number of questions about the impact these journals seek in the emerging turbulent, competitive research publication market. A comparison of these maps with the journals’ b...
We study different types of aggregation operators. We,focus on the generalized OWA (GOWA) operato... more We study different types of aggregation operators. We,focus on the generalized OWA (GOWA) operator developed,by Yager which represents a generalization to a wide range of aggregation operators. We distinguish between,aggregations,with a descending or with an ascending order. We introduce the induced,generalized OWA (IGOWA) operator which,represents an extension,to the,GOWA,operator. It
abstract: Aggregation operators for linguistic variables usually assume a uniform and symmetrical... more abstract: Aggregation operators for linguistic variables usually assume a uniform and symmetrical distribution of the linguistic terms that define the variable. This paper defines the Induced Unbalanced Linguistic Ordered Weighted Average (IULOWA). This aggregator takes into account the fuzzy membership functions of the terms during the aggregation operations of the pairs of terms. There is no restriction on the form of the membership functions of the terms, which can be triangular or trapezoidal, non-symmetrical and non- ...
International Journal of Computational Intelligence Systems, 2011
The Minkowski distance is a distance measure that generalizes a wide range of distances such as t... more The Minkowski distance is a distance measure that generalizes a wide range of distances such as the Hamming and the Euclidean distance. In this paper, we develop a generalization of the Minkowski distance by using the induced ordered weighted averaging (IOWA) operator. We call it the induced Minkowski OWA distance (IMOWAD) or induced generalized OWA distance (IGOWAD) operator. Then, we are able to obtain a wide range of distance measures that includes the Minkowski distance, the Minkowski OWA distance (MOWAD), and the induced OWA distance (IOWAD). We also present a further generalization by using quasi-arithmetic means. We end the paper with a numerical example of the new approach.
ABSTRACT We develop a new approach for decision making with Dempster-Shafer theory of evidence wh... more ABSTRACT We develop a new approach for decision making with Dempster-Shafer theory of evidence where the available information is uncertain and it can be assessed with fuzzy numbers. With this approach, we are able to represent the problem without losing relevant information, so the decision maker knows exactly which are the different alternatives and their consequences. For doing so, we suggest the use of different types of fuzzy induced aggregation operators in the problem. Then, we can aggregate the information considering all the different scenarios that could happen in the analysis. As a result, we get new types of fuzzy induced aggregation operators such as the belief structure – fuzzy induced ordered weighted averaging (BS-FIOWA) and the belief structure – fuzzy induced hybrid averaging (BS-FIHA) operator. We study some of their main properties. We further generalize this approach by using fuzzy induced generalized aggregation operators. We also develop an application of the new approach in a financial decision making problem about selection of financial strategies.
Proceedings of the 7th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-2011), 2011
A new model for dealing with decision making under risk by considering subjective and objective i... more 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 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.
Proceedings of the 7th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-2011), 2011
We develop a new model for fuzzy decision making based on the use of several sources of informati... more We develop a new model for fuzzy decision making based on the use of several sources of information in the analysis. We introduce the fuzzy unified aggregation operator (FUAO). It is an aggregation operator that unifies other aggregation operators in the same formulation and considering the degree of importance of each concept in the analysis. Moreover, it also deals with uncertain environments that can be assessed with fuzzy numbers. We study the applicability of this new approach and we see that it is very broad. We focus on a fuzzy multi-person decision making problem regarding the selection of strategies.
Journal of Business Economics and Management, 2014
We introduce a new decision-making model that unifies risk and uncertain environments in the same... more We introduce a new decision-making model that unifies risk and uncertain environments in the same formulation. For doing so, we present the induced probabilistic ordered weighted averaging (IPOWA) operator. It is an aggregation operator that unifies the probability with the OWA operator in the same formulation and considering the degree of importance of each concept in the aggregation. Moreover, it also uses induced aggregation operators that provide a more general representation of the attitudinal character of the decision-maker. We study its applicability and we see that it is very broad because all the previous studies that use the probability or the OWA operator can be revised and extended with this new approach. We briefly analyze some basic applications in statistics such as the implementation of this approach with the variance, the covariance, the Pearson coefficient and in a simple linear regression model. We focus on a multi-person decision-making problem in strategic management. Thus, we are able to construct a new aggregation operator that we call the multi-person IPOWA (MP-IPOWA) operator. Its main advantage is that it can deal with the opinion of several persons in the analysis so we can represent the information in a more complete way.
Taylor & Francis makes every effort to ensure the accuracy of all the information (the "Content")... more Taylor & Francis makes every effort to ensure the accuracy of all the information (the "Content") contained in the publications on our platform. However, Taylor & Francis, our agents, and our licensors make no representations or warranties whatsoever as to the accuracy, completeness, or suitability for any purpose of the Content. Any opinions and views expressed in this publication are the opinions and views of the authors, and are not the views of or endorsed by Taylor & Francis. The accuracy of the Content should not be relied upon and should be independently verified with primary sources of information. Taylor and Francis shall not be liable for any losses, actions, claims, proceedings, demands, costs, expenses, damages, and other liabilities whatsoever or howsoever caused arising directly or indirectly in connection with, in relation to or arising out of the use of the Content.
Technological and Economic Development of Economy, 2014
In this paper, we propose some new aggregation operators which are based on the Choquet integral ... more In this paper, we propose some new aggregation operators which are based on the Choquet integral and Einstein operations. The operators not only consider the importance of the elements or their ordered positions, but also consider the interactions phenomena among the decision making criteria or their ordered positions. It is shown that the proposed operators generalize several intuitionistic fuzzy Einstein aggregation operators. Moreover, some of their properties are investigated. We also study the relationship between the proposed operators and the existing intuitionistic fuzzy Choquet aggregation operators. Furthermore, an approach based on intuitionistic fuzzy Einstein Choquet integral operators is presented for multiple attribute decision-making problem. Finally, a practical decision making problem involving the water resource management is given to illustrate the multiple attribute decision making process.
Average price is a numerical value that represents a set of prices, which may relate to firms, co... more Average price is a numerical value that represents a set of prices, which may relate to firms, countries, or regions. This study presents new methods of average price aggregation that build on the unified aggregation operator (UAO). The UAO combines a wide range of sub-aggregation processes into a single formulation capable of accounting for the importance of each concept in the analysis. The aggregation system is flexible, can adapt to different environments, and provides a complete representation of relevant information. The UAO can calculate the average price for numerous geographical contexts such as supranational regions and countries. The study illustrates the UAO's utility by presenting an example of how to calculate the world average price of a product while considering a range of opinions and environmental uncertainties.
Journal impact is an ill-structured, complex construct. Present bibliometric and survey measures ... more Journal impact is an ill-structured, complex construct. Present bibliometric and survey measures do not capture it fully. The paper deconstructs the combinatorial complexity of the construct using an ontology which encapsulates 2500 potential components of the construct. The ontology is a parsimonious, systemic, and systematic representation of journal impact. The paper presents an ontological analysis of the impact aspirations of 31 top MIS journals (from one of the published surveys) based on their editorial statements. These statements were mapped to the ontology by the authors using consensus coding. The ontological and heat maps derived from the editorial statements reveal significant ‘bright’, ‘light’, and ‘blank/blind’ spots – aspects with heavy, light, and no emphasis. The differences in luminosity pose a number of questions about the impact these journals seek in the emerging turbulent, competitive research publication market. A comparison of these maps with the journals’ b...
We study different types of aggregation operators. We,focus on the generalized OWA (GOWA) operato... more We study different types of aggregation operators. We,focus on the generalized OWA (GOWA) operator developed,by Yager which represents a generalization to a wide range of aggregation operators. We distinguish between,aggregations,with a descending or with an ascending order. We introduce the induced,generalized OWA (IGOWA) operator which,represents an extension,to the,GOWA,operator. It
abstract: Aggregation operators for linguistic variables usually assume a uniform and symmetrical... more abstract: Aggregation operators for linguistic variables usually assume a uniform and symmetrical distribution of the linguistic terms that define the variable. This paper defines the Induced Unbalanced Linguistic Ordered Weighted Average (IULOWA). This aggregator takes into account the fuzzy membership functions of the terms during the aggregation operations of the pairs of terms. There is no restriction on the form of the membership functions of the terms, which can be triangular or trapezoidal, non-symmetrical and non- ...
International Journal of Computational Intelligence Systems, 2011
The Minkowski distance is a distance measure that generalizes a wide range of distances such as t... more The Minkowski distance is a distance measure that generalizes a wide range of distances such as the Hamming and the Euclidean distance. In this paper, we develop a generalization of the Minkowski distance by using the induced ordered weighted averaging (IOWA) operator. We call it the induced Minkowski OWA distance (IMOWAD) or induced generalized OWA distance (IGOWAD) operator. Then, we are able to obtain a wide range of distance measures that includes the Minkowski distance, the Minkowski OWA distance (MOWAD), and the induced OWA distance (IOWAD). We also present a further generalization by using quasi-arithmetic means. We end the paper with a numerical example of the new approach.
ABSTRACT We develop a new approach for decision making with Dempster-Shafer theory of evidence wh... more ABSTRACT We develop a new approach for decision making with Dempster-Shafer theory of evidence where the available information is uncertain and it can be assessed with fuzzy numbers. With this approach, we are able to represent the problem without losing relevant information, so the decision maker knows exactly which are the different alternatives and their consequences. For doing so, we suggest the use of different types of fuzzy induced aggregation operators in the problem. Then, we can aggregate the information considering all the different scenarios that could happen in the analysis. As a result, we get new types of fuzzy induced aggregation operators such as the belief structure – fuzzy induced ordered weighted averaging (BS-FIOWA) and the belief structure – fuzzy induced hybrid averaging (BS-FIHA) operator. We study some of their main properties. We further generalize this approach by using fuzzy induced generalized aggregation operators. We also develop an application of the new approach in a financial decision making problem about selection of financial strategies.
Proceedings of the 7th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-2011), 2011
A new model for dealing with decision making under risk by considering subjective and objective i... more 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 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.
Proceedings of the 7th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-2011), 2011
We develop a new model for fuzzy decision making based on the use of several sources of informati... more We develop a new model for fuzzy decision making based on the use of several sources of information in the analysis. We introduce the fuzzy unified aggregation operator (FUAO). It is an aggregation operator that unifies other aggregation operators in the same formulation and considering the degree of importance of each concept in the analysis. Moreover, it also deals with uncertain environments that can be assessed with fuzzy numbers. We study the applicability of this new approach and we see that it is very broad. We focus on a fuzzy multi-person decision making problem regarding the selection of strategies.
Journal of Business Economics and Management, 2014
We introduce a new decision-making model that unifies risk and uncertain environments in the same... more We introduce a new decision-making model that unifies risk and uncertain environments in the same formulation. For doing so, we present the induced probabilistic ordered weighted averaging (IPOWA) operator. It is an aggregation operator that unifies the probability with the OWA operator in the same formulation and considering the degree of importance of each concept in the aggregation. Moreover, it also uses induced aggregation operators that provide a more general representation of the attitudinal character of the decision-maker. We study its applicability and we see that it is very broad because all the previous studies that use the probability or the OWA operator can be revised and extended with this new approach. We briefly analyze some basic applications in statistics such as the implementation of this approach with the variance, the covariance, the Pearson coefficient and in a simple linear regression model. We focus on a multi-person decision-making problem in strategic management. Thus, we are able to construct a new aggregation operator that we call the multi-person IPOWA (MP-IPOWA) operator. Its main advantage is that it can deal with the opinion of several persons in the analysis so we can represent the information in a more complete way.
Taylor & Francis makes every effort to ensure the accuracy of all the information (the "Content")... more Taylor & Francis makes every effort to ensure the accuracy of all the information (the "Content") contained in the publications on our platform. However, Taylor & Francis, our agents, and our licensors make no representations or warranties whatsoever as to the accuracy, completeness, or suitability for any purpose of the Content. Any opinions and views expressed in this publication are the opinions and views of the authors, and are not the views of or endorsed by Taylor & Francis. The accuracy of the Content should not be relied upon and should be independently verified with primary sources of information. Taylor and Francis shall not be liable for any losses, actions, claims, proceedings, demands, costs, expenses, damages, and other liabilities whatsoever or howsoever caused arising directly or indirectly in connection with, in relation to or arising out of the use of the Content.
Technological and Economic Development of Economy, 2014
In this paper, we propose some new aggregation operators which are based on the Choquet integral ... more In this paper, we propose some new aggregation operators which are based on the Choquet integral and Einstein operations. The operators not only consider the importance of the elements or their ordered positions, but also consider the interactions phenomena among the decision making criteria or their ordered positions. It is shown that the proposed operators generalize several intuitionistic fuzzy Einstein aggregation operators. Moreover, some of their properties are investigated. We also study the relationship between the proposed operators and the existing intuitionistic fuzzy Choquet aggregation operators. Furthermore, an approach based on intuitionistic fuzzy Einstein Choquet integral operators is presented for multiple attribute decision-making problem. Finally, a practical decision making problem involving the water resource management is given to illustrate the multiple attribute decision making process.
Average price is a numerical value that represents a set of prices, which may relate to firms, co... more Average price is a numerical value that represents a set of prices, which may relate to firms, countries, or regions. This study presents new methods of average price aggregation that build on the unified aggregation operator (UAO). The UAO combines a wide range of sub-aggregation processes into a single formulation capable of accounting for the importance of each concept in the analysis. The aggregation system is flexible, can adapt to different environments, and provides a complete representation of relevant information. The UAO can calculate the average price for numerous geographical contexts such as supranational regions and countries. The study illustrates the UAO's utility by presenting an example of how to calculate the world average price of a product while considering a range of opinions and environmental uncertainties.
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Papers by José M. Merigó