Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
February 17, 2026
Neural Networks and Rules-based Systems used to Find Rational and
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Today’s green supply chain management (GSCM) has become a protective approach to increase awareness against SCMenvironmental impact. Green strategies have become vital issue for companies to gain environmental sustainability .last year’s research shows that the production, transportation, storage and consumption of all these goods related environmental aspect such as emission of greenhouse gases. This paper focuseson the design, planning and controlling in supply chain for transportation and facility. There are several methods for solving multi-objective linear programming (MOLP) models, among them we use the fuzzy programming approaches to solve bi-objective model on the other hand weusetriangular fuzzy number to translate the subjective human perception into a solid crisp value and utilize the fuzzy number approach for uncertain demands .one numerical example is presented to show that our proposed method.
Azadeh Sohrabinejad. 2014. \u201cA Goal Programming Approach for Multiple Objective Green Supply Chain Management\u201d. Global Journal of Human-Social Science - B: Geography, Environmental Science & Disaster Management GJHSS-B Volume 14 (GJHSS Volume 14 Issue B1): .
Crossref Journal DOI 10.17406/GJHSS
Print ISSN 0975-587X
e-ISSN 2249-460X
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Neural Networks and Rules-based Systems used to Find Rational and
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Today’s green supply chain management (GSCM) has become a protective approach to increase awareness against SCMenvironmental impact. Green strategies have become vital issue for companies to gain environmental sustainability .last year’s research shows that the production, transportation, storage and consumption of all these goods related environmental aspect such as emission of greenhouse gases. This paper focuseson the design, planning and controlling in supply chain for transportation and facility. There are several methods for solving multi-objective linear programming (MOLP) models, among them we use the fuzzy programming approaches to solve bi-objective model on the other hand weusetriangular fuzzy number to translate the subjective human perception into a solid crisp value and utilize the fuzzy number approach for uncertain demands .one numerical example is presented to show that our proposed method.
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