Sustainability pertains to the interplay between environmental, economic, and social systems at varying scales. In transportation systems, vehicles use different fuels to fulfill their energy requirements. However these fuels emit green house gases that pollute the environment. Taking into account this fact, the present paper delves into the investigation of a multi-objective multi-item fixed cost solid transportation problem with various driving styles. Also, three types of fuels are incorporated in the proposed model. The primary focus of this paper is to maximize profit by reducing breakage of the items along with reducing carbon emission and time of transportation. In real-life situations, the parameters of multi-objective multi-item fixed cost solid transportation problem may not be tackled crisply. Hence triangular intuitionistic fuzzy numbers are introduced in the proposed model. The score function is employed to convert intuitionistic fuzzy problem to deterministic one. Thereafter, a methodology is developed to solve the proposed model involving different driving styles and is extended to consider the optimistic, pessimistic, and mixed view of the decision maker. Comparisons are made among the compromise solutions that are derived from different approaches and are shown by various charts and graphs. A case study is included to illustrate the applicability and validity of the proposed methodology.

可持续性涉及不同规模的环境、经济和社会系统之间的相互作用。在运输系统中，车辆使用不同的燃料来满足其能源需求。然而，这些燃料会排放污染环境的温室气体。考虑到这一事实，本文深入研究了具有各种驾驶风格的多目标多项目固定成本固体运输问题。此外，建议的模型中包含三种类型的燃料。本文的主要重点是通过减少物品破损以及减少碳排放来实现利润最大化和运输时间。在现实生活中，多目标多项目固定成本固体运输问题的参数可能无法清晰地解决。因此，在所提出的模型中引入了三角直觉模糊数。得分函数用于将直觉模糊问题转换为确定性模糊问题。此后，开发了一种方法来解决所提出的涉及不同驾驶风格的模型，并扩展到考虑决策者的乐观、悲观和混合观点。对不同方法得出的折衷方案进行了比较，并通过各种图表和图形显示。包括一个案例研究，以说明所提出方法的适用性和有效性。