School of Economics and Management, Anhui Normal University, Wuhu, 241000, Anhui, China.
Department of Industrial Engineering, Turkish Naval Academy, National Defence University, 34942 Tuzla, Istanbul, Turkey; The Bartlett School of Sustainable Construction, University College London, 1-19 Torrington Place, London, WC1E 7HB, UK; Department of Electrical and Computer Engineering, Lebanese American University, Byblos, Lebanon.
J Environ Manage. 2024 Feb 27;353:120105. doi: 10.1016/j.jenvman.2024.120105. Epub 2024 Feb 6.
Food waste has received wide attention due to its hazardous environmental effects, such as soil, water, and air pollution. Evaluating food waste treatment techniques is imperative to realize environmental sustainability. This study proposes an integrated framework, the complex q-rung orthopair fuzzy-generalized TODIM (an acronym in Portuguese for interactive and multi-criteria decision-making) method with weighted power geometric operator, to assess the appropriate technique for food waste. The assessment of food waste treatment techniques can be divided into three phases: information processing, information fusion, and ranking alternatives. Firstly, the complex q-rung orthopair fuzzy set flexibly describes the information with periodic characteristics in the processing process with various parameters q. Then, the weighted power geometric operator is employed to calculate the weight of the expert and form the group evaluation matrix, in which the weight of each input rating depends upon the other input ratings. It can simulate the mutual support, multiplicative preferences, and interrelationship of experts. Next, the generalized TODIM method is employed to rank the food waste treatment techniques, considering experts' psychological characteristics and bounded behavior. Subsequently, a real-world application case examines the practicability of the proposed framework. Furthermore, the sensitivity analysis verifies the validity and stability of the presented framework. The comparative study highlights the effectiveness of this framework using the existing frameworks. According to the result, Anaerobic digestion (0.0043) has the highest priority among the considered alternatives, while Incineration (-0.0009) has the lowest.
由于食物浪费对土壤、水和空气等环境造成的危害，它受到了广泛关注。评估食物浪费处理技术对于实现环境可持续性至关重要。本研究提出了一种综合框架，即复杂 q 级模糊对偶广义 TODIM（葡萄牙语中交互和多准则决策的缩写）方法与加权幂几何算子，用于评估适合食物浪费的处理技术。食物浪费处理技术的评估可分为三个阶段：信息处理、信息融合和替代方案排名。首先，复杂 q 级模糊对偶集合通过各种参数 q 灵活地描述处理过程中具有周期性特征的信息。然后，使用加权幂几何算子计算专家权重并形成群组评估矩阵，其中每个输入评级的权重取决于其他输入评级。它可以模拟专家之间的相互支持、乘法偏好和相互关系。接下来，使用广义 TODIM 方法来对食物浪费处理技术进行排名，同时考虑专家的心理特征和有限行为。随后，通过一个实际应用案例检验了所提出框架的实用性。此外，敏感性分析验证了所提出框架的有效性和稳定性。通过与现有框架的比较研究，突出了该框架的有效性。结果表明，在考虑的替代方案中，厌氧消化（0.0043）的优先级最高，而焚烧（-0.0009）的优先级最低。
