Soft computing is a collective methodology that touches all engineering and technology fields owing to its easiness in solving various problems while comparing the conventional methods. Many analytical methods are taken over by this soft computing technique and resolve it accurately and the soft computing has given a paradigm shift. The flexibility in soft computing results in swift knowledge acquisition processing and the information supply renders versatile and affordable technological system. Besides, the accuracy with which the soft computing technique predicts the parameters has transformed the industrial productivity to a whole new level. The interest of this article focuses on versatile applications of SC methods to forecast the technological changes which intend to reorient the progress of various industries, and this is ascertained by a patent landscape analysis. The patent landscape revealed the players who are in the segment consistently and this also provides how this field moves on in the future and who could be a dominant country for a specific technology. Alongside, the accuracy of the soft computing method for a particular practice has also been mentioned indicating the feasibility of the technique. The novel part of this article lies in patent landscape analysis compared with the other data while the other part is the discussion of application of computational techniques to various industrial practices. The progress of various engineering applications integrating them with the patent landscape analysis must be envisaged for a better understanding of the future of all these applications resulting in an improved productivity.

中文翻译：

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基于应用程序的软计算方法审查以增强专利态势分析助长的工业实践


软计算是一种涉及所有工程和技术领域的集体方法，因为它在比较传统方法时很容易解决各种问题。许多分析方法被这种软计算技术接管并准确解决它，软计算已经发生了范式转变。软计算的灵活性导致了快速的知识获取处理，而信息供应则提供了多功能且价格合理的技术系统。此外，软计算技术预测参数的准确性已将工业生产力提升到一个全新的水平。本文的兴趣集中在 SC 方法的多种应用，以预测旨在重新定位各个行业进步的技术变化，这是通过专利态势分析确定的。专利态势揭示了该领域持续存在的参与者，这也提供了该领域未来如何发展，以及谁可能成为特定技术的主导国家。此外，还提到了特定实践的软计算方法的准确性，表明了该技术的可行性。本文的新颖部分在于与其他数据的专利态势分析，而另一部分是讨论计算技术在各种工业实践中的应用。必须设想将它们与专利态势分析相结合的各种工程应用程序的进展，以便更好地了解所有这些应用程序的未来，从而提高生产力。