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A Hybrid Fuzzy Goal Programming for Smart Phones and Rate Plan Selection
International Journal of Fuzzy Systems ( IF 4.3 ) Pub Date : 2021-07-16 , DOI: 10.1007/s40815-020-00999-3
Hui-Ping Ho, Ching-Ter Chang, Kim Hua Tan

Smartphones are essential personal belongings today. However, smartphone buyers (SBs) are often hesitant in deciding what the best smartphone and rate plan to choose offered by telecom providers. Among many new smartphones, it is often difficult for users to choose the most suitable one in consideration of reaching the salient success aspiration level (SSAL) as close as possible, e.g., large battery capacity, and avoiding falling below the survival aspiration level (SAL) as far as possible, e.g., budget limitation, simultaneously. A novel hybrid weighted SSAL-SAL fuzzy goal programming (FGP) is proposed to assist SBs in finding satisfactory smartphones of their preferences with suitable rate plans. To meet different preferences, SBs can easily set different weights for each smartphone selection goal with linguistic terms, such as high, average, and low. In addition, these linguistic terms can easily be transformed into trapezoidal fuzzy numbers. The weights are then attached to goals in the objective function in the weighted SSAL-SAL-FGP model for choosing the most suitable smartphone. Moreover, this study also allows SBs to set the goal satisfaction levels as a preemptive priority for each goal in the FGP to find the most suitable rate plan option for the selected smartphone. The proposed approach allows SBs to select the best smartphones with suitable rate plans considering their priority preferences. In addition, SBs can save costs and precious time in finding their ideal smartphones and rate plan options. Finally, various examples are used to demonstrate the usefulness of the proposed weighted SSAL-SAL-FGP model, which allows SBs to set different weights for each goal with the intuitive method, such as linguistic terms or preemptive priority to select appropriate smartphones with suitable rate plans to match their habits and budgets. Besides, this study distributed an online questionnaire to investigate smartphone owners and found that female smartphone owners consider the battery capacity and the weight of the smartphone more crucial than the other criteria, while male smartphone owners prefer a smartphone with bigger screen size.



中文翻译:

智能手机和费率计划选择的混合模糊目标规划

智能手机是当今必不可少的个人物品。但是,智能手机购买者 (SB) 在决定选择电信提供商提供的最佳智能手机和费率计划时常常犹豫不决。在众多新款智能手机中,考虑到尽可能接近显着成功期望水平(SSAL),例如大电池容量,以及避免低于生存期望水平(SAL),用户往往难以选择最合适的一款。 ) 尽可能同时,例如预算限制。提出了一种新颖的混合加权 SSAL-SAL 模糊目标编程 (FGP),以帮助 SB 找到满意的具有合适费率计划的偏好的智能手机。为满足不同的偏好,SB 可以轻松地为每个智能手机选择目标设置不同的权重,例如高、平均、和低。此外,这些语言术语可以很容易地转化为梯形模糊数。然后将权重附加到加权 SSAL-SAL-FGP 模型中目标函数中的目标,以选择最合适的智能手机。此外,这项研究还允许 SB 将目标满意度设置为 FGP 中每个目标的优先级,以找到最适合所选智能手机的费率计划选项。提议的方法允许 SB 选择具有合适费率计划的最佳智能手机,同时考虑他们的优先偏好。此外,SB 可以节省成本和宝贵的时间来寻找理想的智能手机和费率计划选项。最后,使用各种示例来证明所提出的加权 SSAL-SAL-FGP 模型的有用性,这允许 SB 使用直观的方法为每个目标设置不同的权重,例如语言术语或抢占优先级,以选择具有合适费率计划的合适智能手机,以匹配他们的习惯和预算。此外,本研究还发布了一份在线问卷调查智能手机用户,发现女性智能手机用户认为智能手机的电池容量和重量比其他标准更重要,而男性智能手机用户更喜欢屏幕尺寸更大的智能手机。

更新日期:2021-07-16
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