A novel extension of Pythagorean fuzzy MULTIMOORA approach for new product development

多准则决策分析 新产品开发 模糊性 计算机科学 模糊逻辑 群体决策 管理科学 过程(计算) 运筹学 勾股定理 分类 风险分析(工程) 人工智能 过程管理 数学 工程类 营销 业务 几何学 政治学 法学 操作系统
作者
Fethullah Göçer,Gülçin Büyüközkan
出处
期刊:Heliyon [Elsevier BV]
卷期号:9 (6): e16726-e16726 被引量:10
标识
DOI:10.1016/j.heliyon.2023.e16726
摘要

This study explores how to enhance the decision-making processes in the phases of idea generation or alternative selection during the new product development (NPD) process. NPD is acknowledged as the central function of businesses in an increasingly competitive marketplace. In the current era, the highly uncertain and rapidly changing market environment makes the NPD extremely vague and complex. To be able to find a suitable solution to this complexity, the proposed research aims to categorize the decision points in the process of NPD regarding software development and identify the fuzziness elements affecting the process. The goal of a decision-making process is to prioritize several alternatives with respect to some required objectives and to select the best among them. Multi-Criteria Decision-Making (MCDM) may support reaching a consensus judgment with the collective assessment of Decision Makers (DMs). We introduce a novel evaluation approach for this problem. The proposed approach employs a MULTIMOORA (Multi-objective Optimization by Ratio Analysis plus the Full Multiplicative Form) MCDM technique under Pythagorean Fuzzy Sets (PFSs) objective world environment to cope with an ambiguous environment using Group Decision Making (GDM) setting to shape the decisions. The PFSs have demonstrated their advantages in dealing with vagueness and uncertainty over crisp, fuzzy, or intuitionistic fuzzy sets. Therefore, PFSs can represent the DMs' judgments and preferences in a better structure, ensuring enhanced decision-making in a group consensus. A case study on gaming software and app development is presented to validate the functionality of the proposed method. The results are compared and assessed with the help of a sensitivity analysis. This research makes a real contribution to the literature by proposing a novel evaluation method to rate and select NPD (gaming software and apps) to deal with the inexactness and vagueness associated with the criteria and alternatives.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
汉堡包应助南山采纳,获得10
1秒前
dawd12完成签到,获得积分10
1秒前
1秒前
FashionBoy应助科研通管家采纳,获得10
1秒前
七院应助科研通管家采纳,获得30
1秒前
NexusExplorer应助科研通管家采纳,获得10
1秒前
无限迎蕾完成签到,获得积分10
1秒前
cesar完成签到,获得积分0
1秒前
ayaya完成签到,获得积分10
1秒前
Su应助科研通管家采纳,获得10
1秒前
Lucas应助花开的石头采纳,获得10
2秒前
MOCUISHLE完成签到,获得积分10
2秒前
2秒前
忧虑的书南文舟舟完成签到 ,获得积分10
3秒前
毕烨华完成签到 ,获得积分10
4秒前
WZ完成签到 ,获得积分10
5秒前
6秒前
9秒前
TPolymer完成签到,获得积分10
10秒前
demom完成签到 ,获得积分10
11秒前
风清扬完成签到,获得积分0
11秒前
藏羚羊完成签到,获得积分10
11秒前
11秒前
爱听歌钥匙完成签到 ,获得积分10
13秒前
wrm发布了新的文献求助10
13秒前
菜菜求带发布了新的文献求助10
14秒前
14秒前
15秒前
无一发布了新的文献求助10
15秒前
Youngboom完成签到 ,获得积分10
17秒前
胡萝卜完成签到 ,获得积分10
19秒前
希望天下0贩的0应助Bean采纳,获得10
19秒前
wrm完成签到,获得积分10
19秒前
mensa完成签到,获得积分10
21秒前
今日上上签完成签到 ,获得积分10
21秒前
21秒前
从容谷菱完成签到 ,获得积分10
22秒前
小小马完成签到 ,获得积分10
22秒前
23秒前
高分求助中
Markov Chain Monte Carlo 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Advanced Weaponeering Fourth Edition, Volume 2 1000
Weaponeering: An Introduction Fourth Edition, Volume 1 1000
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
The Redesign of International Investment Contracts 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7537454
求助须知:如何正确求助?哪些是违规求助? 9122328
关于积分的说明 19486851
捐赠科研通 7135307
什么是DOI,文献DOI怎么找? 3257587
关于科研通互助平台的介绍 2424958
邀请新用户注册赠送积分活动 2245556