Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  proposes a goal programming methodology to ensure that a mix of balance and optimisation is achieved across a hierarchical decision network. The extended goal programming principle is used for this purpose. A model is constructed that provides consideration of balance and efficiency of multiple objectives and stakeholders at each network node level. A goal programming formulation to provide the decision that best meets the goals of the network is given. The proposed model is controlled by three key parameters that represent the level of non-compensation beten objectives, level of non-compensation beten stakeholders, and level of centralisation in the network. The methodology is demonstrated on an example pertaining to regional renewable energy generation and the results are discussed. Conclusions are drawn as to the effect of different attitudes towards compensatory behaviour beten objectives and stakeholders in the network.
['Dylan Jones', 'Helenice de Oliveira Florentino', 'Daniela Renata Cantane', 'Rogerio Oliveira']
I am writing a research paper on a idea An extended goal programming methodology for analysis of a network encompassing multiple objectives and stakeholders
[{"from": "human", "value": "I am writing a research paper on a idea An extended goal programming methodology for analysis of a network encompassing multiple objectives and stakeholders"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  proposes a goal programming methodology to ensure that a mix of balance and optimisation is achieved across a hierarchical decision network. The extended goal programming principle is used for this purpose. A model is constructed that provides consideration of balance and efficiency of multiple objectives and stakeholders at each network node level. A goal programming formulation to provide the decision that best meets the goals of the network is given. The proposed model is controlled by three key parameters that represent the level of non-compensation beten objectives, level of non-compensation beten stakeholders, and level of centralisation in the network. The methodology is demonstrated on an example pertaining to regional renewable energy generation and the results are discussed. Conclusions are drawn as to the effect of different attitudes towards compensatory behaviour beten objectives and stakeholders in the network."}]