scholarly journals Multi-Objective and Multi-Attribute Optimization for Sustainable Development Decision Aiding

2019 ◽  
Vol 11 (11) ◽  
pp. 3069 ◽  
Author(s):  
Edmundas Kazimieras Zavadskas ◽  
Jurgita Antucheviciene ◽  
Samarjit Kar
Keyword(s):  
Decision Making ◽  
Sustainable Development ◽  
Multiple Attribute Decision Making ◽  
Infrastructure Development ◽  
Uncertain Environments ◽  
Research Papers ◽  
Organization Management ◽  
Multi Objective ◽  
Decision Aiding ◽  
Multiple Attribute

Optimization is considered as a decision-making process to get the most out of available resources for the best attainable results. Many real-world problems are multi-objective or multi-attribute problems that naturally involve several competing objectives that are required to be optimized simultaneously, while respecting some constraints or selecting among feasible discrete alternatives. In this Special Issue, 19 research papers co-authored by 88 researchers from 14 different countries explore aspects of multi-objective or multi-attribute modelling and optimization in crisp or uncertain environments by suggesting multiple-attribute decision-making (MADM) and multi-objective decision-making (MODM) approaches. The papers elaborate the approaches on the state-of-the-art case studies in selected areas of applications related to sustainable development decision aiding in engineering and management, including construction, transportation, infrastructure development, production, and organization management.

scholarly journals Decision-Maker’s Risk Preference Based Intuitionistic Fuzzy Multiattribute Decision-Making and Its Application in Robot Enterprises Investment

2018 ◽  
Vol 2018 ◽  
pp. 1-6 ◽  
Author(s):  
Liandong Zhou ◽  
Qifeng Wang
Keyword(s):  
Decision Making ◽  
Fuzzy Numbers ◽  
Weight Vector ◽  
Multiple Attribute Decision Making ◽  
Decision Makers ◽  
Research Papers ◽  
Intuitionistic Fuzzy Numbers ◽  
Intuitionistic Fuzzy ◽  
Multiple Attribute ◽  
Fuzzy Weight

At present, the utilization of hesitation information of intuitionistic fuzzy numbers is insufficient in many methods which were proposed to solve the intuitionistic fuzzy multiple attribute decision-making problems. And also there exist some flaws in the intuitionistic fuzzy weight vector constructions in many research papers. In order to solve these insufficiencies, this paper defined three construction equations of weight vectors based on the risk preferences of decision-makers. Then we developed an intuitionistic fuzzy dependent hybrid weighted operator (IFDHW) and proposed an intuitionistic fuzzy multiattribute decision-making method. Finally, the effectiveness of this method is verified by a robot manufacturing investment example.

Multi-Objective Optimization Design of Steel Frames Based on Multiple Attribute Decision-Making Method

2013 ◽  
Vol 368-370 ◽  
pp. 830-837
Author(s):  
Mao Qiao Cui ◽  
Hai Yan Huang ◽  
Fu Lai Wang ◽  
Yong Qiu
Keyword(s):  
Decision Making ◽  
Optimization Design ◽  
Intuitionistic Fuzzy Set ◽  
Optimal Solution ◽  
Multiple Attribute Decision Making ◽  
Optimization Strategy ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Multiple Attribute ◽  
High Level

This paper describes in detail a multi-objective optimization strategy and decision-making method in the process of steel frame optimization design. A step-by-step analysis process integrating optimization algorithm and model analysis is proposed to solve the present problem. A multi-objective algorithm method using fast Non-dominated Sorting Genetic Algorithm is employed to obtain the Pareto-optimal solution set through an evolutionary optimization process. A high-level multiple attribute decision-making method based on intuitionistic fuzzy set theory is adopted to rank these solutions from the best to worst, and to determine the best solution. An example is used to demonstrate the proposed optimization model and decision-making method.

Application of Fuzzy Multiple Attribute Decision-Making for Selecting the Best Sustainable Orientation

2018 ◽  
Vol 5 (2) ◽  
pp. 47-65
Author(s):  
K. Jayakrishna ◽  
K.E.K. Vimal ◽  
L.N.U. Medha ◽  
Shubham Jain ◽  
S. Aravind Raj
Keyword(s):  
Decision Making ◽  
Sustainable Development ◽  
Sustainable Manufacturing ◽  
Multiple Attribute Decision Making ◽  
Multiple Attribute ◽  
Hierarchical Decision ◽  
Component Manufacturing ◽  
Manufacturing Organization ◽  
Brundtland Commission

Sustainability is an idea encompassed with various aspects still under exploration in addition to its vibrant and comprehensive nature. The Brundtland commission articulated that sustainable development is development that meets the needs of the present without compromising the ability of future generations to meet their own needs. A plunge for supporting the ideology of sustainability orientations with respect to manufacturing and their implementation are still in need, but the quantum of factors increases in the process of sustainability orientation selection during the implementation of sustainable manufacturing. Several undecided factors are intrinsic in the implementation of new sustainable manufacturing. Decision-making methods using probabilities to represent the three orientations such as alternate material change, manufacturing process change and design change of achieving sustainability cannot be used to prioritize them. Therefore, a fuzzy multiple attribute decision-making (FMADM) method was developed with a three-level hierarchical decision-making models based on the economic, environment and social aspects of sustainable development, to evaluate the three orientations involved in sustainable manufacturing. A case study was conducted in an Indian automotive component manufacturing organization with the FMADM model developed and the results effectively reflected the characteristics of the three orientations of sustainable manufacturing.

scholarly journals A Hybrid Neutrosophic-Grey Analytic Hierarchy Process Method: Decision-Making Modelling in Uncertain Environments

2021 ◽  
Vol 2021 ◽  
pp. 1-18
Author(s):  
Amin Vafadarnikjoo ◽  
Marco Scherz
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Multiple Attribute Decision Making ◽  
Neutrosophic Set ◽  
Ahp Method ◽  
Uncertain Environments ◽  
Analytic Hierarchy ◽  
Multiple Attribute ◽  
Organisation Management ◽  
Hierarchy Process

The analytic hierarchy process (AHP) is recognised as one of the most commonly applied methods in the multiple attribute decision-making (MADM) literature. In the AHP, encompassing uncertainty feature necessitates using suitable uncertainty theories, since dealing efficiently with uncertainty in subjective judgements is of great importance in real-world decision-making problems. The neutrosophic set (NS) theory and grey systems are two reliable uncertainty theories which can bring considerable benefits to uncertain decision-making. The aim of this study is to improve uncertain decision-making by incorporating advantages of the NS and grey systems theories with the AHP in investigating sustainability through agility readiness evaluation in large manufacturing plants. This study pioneers a combined neutrosophic-grey AHP (NG-AHP) method for uncertain decision-making modelling. The applicability of the hybrid NG-AHP method is shown in an illustrative real-case study for agility evaluations in the Iranian steel industry. The computational results indicate the effectiveness of the proposed method in adequately capturing uncertainty in the subjective judgements of decision makers. In addition, the results verify the significance of the research in group decision-making under uncertainty. The practical outcome reveals that, to become a more sustainable agile steel producer in the case country, they should first focus on the “organisation management agility” as the most significant criterion in the assessment followed by “manufacturing process agility,” “product design agility,” “integration of information system,” and “partnership formation capability,” respectively.

PENERAPAN METODE SIMPLE ADDITIVE WEIGHTING DALAM PENETAPAN TENAGA KEPENDIDIKAN BERPRESTASI

2018 ◽  
Vol 1 (2) ◽  
pp. 45-54
Author(s):  
Helpi Nopriandi
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
Multiple Attribute Decision Making ◽  
Multiple Attribute ◽  
Simple Additive Weighting

Tenaga Kependidikan merupakan anggota masyarakat yang mengabdikan diri dan diangkat untuk menunjang penyelenggaraan pendidikan. Decision Support Systems atau lebih dikenal dengan Sistem Pendukung Keputusan adalah bagian dari sebuah sistem informasi yang berbasis komputer termasuk sistem yang berbasis ilmu pengetahuan dan dipakai untuk mendukung pengambil  keputusan dalam suatu organisasi atau perusahaan. untuk memudahkan pimpinan dalam mengambil sebuah keputusan dibuatlah suatu sistem pengambil keputusan dengan menggunakan Fuzzy Multiple Attribute Decision Making  (FMADM) digunakan untuk mencari alternatif optimalkan dari sejumlah alternatif dengan kriteria tertentu, sedangkan metode Simple Additive Weighting (SAW). Metode SAW sering juga dikenal istilah metode penjumlahan terbobot. Konsep dasar metode SAW adalah mencari penjumlahan terbobot dari rating kinerja pada setiap alternatif dari semua atribut.

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