Basic concepts for a theory of evaluation: The aggregative operator

Dombi, József

doi:10.1016/0377-2217(82)90227-2

Cited by 176 publications

(70 citation statements)

References 3 publications

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“…However, one potential drawback of the aforementioned operators is that the results are sensitive to the value of an operator-related parameter, and a minor change in the value of this parameter could reflect significant variations in the final decision. Similar concerns are associated with various other well-known operators such as Dombi's operator [11,12], Hamacher's operator [13], Frank's operator [14], Weber's operators [15], Dubois and Prade's operator [16], and Schweizer's operator [17], among many others. However, there is one fuzzy operator that does not contain any operator-related parameter, and therefore does not suffer from the issues that arise with fuzzy operators mentioned above.…”

Section: Introductionmentioning

confidence: 78%

Fuzzy Logic Based Multi-Criteria Wind Turbine Selection Strategy—A Case Study of Qassim, Saudi Arabia

Rehman

Khan

2016

Energies

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Abstract:The emergence of wind energy as a potential alternative to traditional sources of fuel has prompted notable research in recent years. One primary factor contributing to efficient utilization of wind energy from a wind farm is the type of turbines used. However, selection of a specific wind turbine type is a difficult task due to several criteria involved in the selection process. Important criteria include turbine's power rating, height of tower, energy output, rotor diameter, cut-in wind speed, and rated wind speed. The complexity of this selection process is further amplified by the presence of conflicts between the decision criteria. Therefore, a decision is desired that provides the best balance between all selection criteria. Considering the complexities involved in the decision-making process, this paper proposes a two-level decision turbine selection strategy based on fuzzy logic and multi-criteria decision-making (MCDM) approach. More specifically, the fuzzy arithmetic mean operator is used in the decision process. The proposed approach is applied to wind data collected from the site of Qassim, Saudi Arabia. Results indicate that the proposed approach was effective in finding the optimal turbine from a set of 20 turbines of various capacities.

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Section: Introductionmentioning

confidence: 78%

Fuzzy Logic Based Multi-Criteria Wind Turbine Selection Strategy—A Case Study of Qassim, Saudi Arabia

Rehman

Khan

2016

Energies

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“…This search leads back to Dombi's class of aggregative operators [7]. This work is also closely related to that of Klement et al on associative compensatory operators [15].…”

Section: Representation Of Uninormsmentioning

confidence: 62%

Information Aggregation in Intelligent Systems Using Generalized Operators

Rudas

Fodor

2006

INT J COMPUT COMMUN

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Aggregation of information represented by membership functions is a central matter in intelligent systems where fuzzy rule base and reasoning mechanism are applied. Typical examples of such systems consist of, but not limited to, fuzzy control, decision support and expert systems. Since the advent of fuzzy sets a great number of fuzzy connectives, aggregation operators have been introduced. Some families of such operators (like t-norms) have become standard in the field. Nevertheless, it also became clear that these operators do not always follow the real phenomena. Therefore, there is a natural need for finding new operators to develop more sophisticated intelligent systems. This paper summarizes the research results of the authors that have been carried out in recent years on generalization of conventional operators.

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“…However, one potential drawback of the aforementioned operators is that the results are sensitive to the value of an operator-related parameter, and a minor change in the value of this parameter could reflect significant variations in the final decision. Similar concerns are associated with various other well-known operators such as Dombi's operator [5,6], Hamacher's operator [7], Frank's operator [8], Weber's operators [9], Dubois and Prade's operator [10], and Schweizer's operator [11], among many others. However, one operator, namely the Einstein operator, does not suffer from the drawback, since there is no operatorrelated parameter associated with that.…”

Section: Introductionmentioning

confidence: 78%

Application of Fuzzy Einstein Operator to Multi-Criteria Decision-Making for Selection of Wind Turbine Type with Nominal Power of 2000 K

Khan¹

2016

IJCNT

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Abstract:Wind energy has emerged as a potential alternative to traditional sources of fuel. One key factor that contributes to efficient harnessing of wind energy from a wind farm is the type of turbines used in that farm. However, selection of a specific wind turbine type is not a simple task due to several decision criteria, such as turbine's power rating, and height of tower on which a turbine is mounted, among others. This selection process is further complicated by the presence of conflicts between the decision criteria. Therefore, a decision is desired that provides the best balance between all selection criteria. Considering the complexities involved in the decision-making process, this paper presents a fuzzy logic based decision-making approach for selection of the most appropriate wind turbine for a specific wind farm using fuzzy Einstein operator. The proposed approach is applied to data collected from a potential site. Results indicate that the proposed approach was effective in finding the optimal turbine from a set of available turbines.

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Basic concepts for a theory of evaluation: The aggregative operator

Cited by 176 publications

References 3 publications

Fuzzy Logic Based Multi-Criteria Wind Turbine Selection Strategy—A Case Study of Qassim, Saudi Arabia

Fuzzy Logic Based Multi-Criteria Wind Turbine Selection Strategy—A Case Study of Qassim, Saudi Arabia

Information Aggregation in Intelligent Systems Using Generalized Operators

Application of Fuzzy Einstein Operator to Multi-Criteria Decision-Making for Selection of Wind Turbine Type with Nominal Power of 2000 K

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