Abstract
Aim: The countries run to the energy, in this work we will put a suitable power plant. Therefore, we will develop a knowledge-based system in power plant to helps designers to find ways to improve the performance of a system in a many way. Methods: We extend the fuzzy soft set theory to fuzzy soft expert system and using FORTRAN program to put models to state suitable power plants stations. The way, (1) a fuzzication in which we transform real-valued inputs into fuzzy sets (2) take the reality values of Fossil power plant station, Nuclear power plant station, Wind power plant station, Solar power plant station, Hydro power plant station, Wave power plant station, Tidal range power plant, Biogas power plant, Coal under effective Renewable, Visual impact, Capital cost, Maintenance cost, Environmental impact, Green gas emissions, Implementation time, Cost Cent/Kwh, Danger of series accidents and Waste problem by use 𝑚-polar fuzzy soft set by using a technic transform to fuzzy soft expert system, (3) compute the corresponding resultant fuzzy soft set by using a combinations the parameters and talked the decision by algorithm to get the output data. Results: we shown the economic optimization of the power plants Fossil power plant station, Nuclear power plant station, Wind power plant station, Solar power plant station, Hydro power plant station, Wave power plant station, Tidal range power plant, Biogas power plant, Coal, under effective Renewable , Visual impact, Capital cost, Maintenance cost, Environmental impact, Green gas emissions, Implementation time, Cost Cent/Kwh, Danger of series accidents and Waste problem by use 𝑚-polar fuzzy soft set. Conclusion: In this work the energy from in the power plants is calculated based on model in m-polar fuzzy sets to determine the true system. The ways, first algorithms to state suitable power plants stations are introduced. In addition, we shown the economic optimization of the power plants Fossil power plant station, Nuclear power plant station, Wind power plant station, Solar power plant station, Hydro power plant station, Wave power plant station, Tidal range power plant, Biogas power plant, Coal, under effective Renewable , Visual impact, Capital cost, Maintenance cost, Environmental impact, Green gas emissions, Implementation time, Cost Cent/Kwh, Danger of series accidents and Waste problem by use 𝑚-polar fuzzy soft set.
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