Modeling Gender based Customer Preferences of Information Search Channels

The disparity in consumer and organization preferences of information channels is a major concern. Further, making decisions in the presence of a wide range of conflicting criteria through the use of a multiple criteria decision-making (MCDM) approach has gained increased prominence in recent years and research in this area has become an important consideration for business operations that involve dealing with complex decision problems. This paper describes how an integrated approach can be applied to a decision-making problem that combines a fuzzy analytical hierarchy process (AHP) and TOPSIS for identifying preferences consumers of information search channels according to demographic factors such as gender.

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Studi Perilaku Anggota Unit Pengambil Keputusan Dalam Pembelian Organisasional: Sebuah Review Literatur

Kajian Bisnis STIE Widya Wiwaha ◽

10.32477/jkb.v24i1.218 ◽

2017 ◽

Vol 24 (1) ◽

pp. 71-86

Author(s):

Amin Wibowo

Keyword(s):

Decision Making ◽

Information Search ◽

Search Time ◽

Integrated Approach ◽

Review Literature ◽

Buying Behavior ◽

Organizational Buying ◽

Decision Making Unit ◽

Behavior Based ◽

Sharing Responsibility

Up to now, organizational buying is still interesting topic discussed. There are divergences among the findings in organizational buying researches. Different perspectives, fenomena observed, research domains and methods caused the divergences. This paper will discusse organizational buying behavior based on literature review, focused on behavior of decision making unit mainly on equipment buying. From this review literatures, it would be theoritical foundation that is valid and reliable to develop propositions in organizational buying behavior. Based on review literature refferences, variables are classified into: purchase situation, member of decision making unit perception, conflict among the members, information search, influences among members of decision making unit. Integrated approach is used to develop propositions relating to: purchasing complexity, sharing responsibility among the members, conflict in decision making unit, information search, time pressure as moderating variable between sharing responsibility and conflict in decision making unit, the influence among the members inside decision making unit and decision making outcome

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Application of multiple criteria decision making problem with AHP and rectilinear norm in MSW disposal proposals

Remote Sensing and Smart City ◽

10.2495/rssc140521 ◽

2014 ◽

Author(s):

Z. Tong ◽

B.J. Zhang ◽

Y. Xu ◽

G.A. Li

Keyword(s):

Decision Making ◽

Multiple Criteria Decision Making ◽

Multiple Criteria ◽

Decision Making Problem

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Goal-driven active learning

Autonomous Agents and Multi-Agent Systems ◽

10.1007/s10458-021-09527-5 ◽

2021 ◽

Vol 35 (2) ◽

Author(s):

Nicolas Bougie ◽

Ryutaro Ichise

Keyword(s):

Decision Making ◽

Reinforcement Learning ◽

Learning Process ◽

Real World ◽

Imitation Learning ◽

Learning Approaches ◽

Wide Range ◽

Fixed Set ◽

Complex Decision Making ◽

Complex Decision

AbstractDeep reinforcement learning methods have achieved significant successes in complex decision-making problems. In fact, they traditionally rely on well-designed extrinsic rewards, which limits their applicability to many real-world tasks where rewards are naturally sparse. While cloning behaviors provided by an expert is a promising approach to the exploration problem, learning from a fixed set of demonstrations may be impracticable due to lack of state coverage or distribution mismatch—when the learner’s goal deviates from the demonstrated behaviors. Besides, we are interested in learning how to reach a wide range of goals from the same set of demonstrations. In this work we propose a novel goal-conditioned method that leverages very small sets of goal-driven demonstrations to massively accelerate the learning process. Crucially, we introduce the concept of active goal-driven demonstrations to query the demonstrator only in hard-to-learn and uncertain regions of the state space. We further present a strategy for prioritizing sampling of goals where the disagreement between the expert and the policy is maximized. We evaluate our method on a variety of benchmark environments from the Mujoco domain. Experimental results show that our method outperforms prior imitation learning approaches in most of the tasks in terms of exploration efficiency and average scores.

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Integration of AHP and GTMA to Make a Reliable Decision in Complex Decision-Making Problems: Application of the Logistics Provider Selection Problem as a Case Study

Symmetry ◽

10.3390/sym12050766 ◽

2020 ◽

Vol 12 (5) ◽

pp. 766

Author(s):

Danijela Tuljak-Suban ◽

Patricija Bajec

Keyword(s):

Decision Making ◽

Analytic Network Process ◽

Third Party ◽

Selection Problem ◽

New Method ◽

Analytic Hierarchy ◽

Decision Making Problem ◽

Network Process ◽

Complex Decision Making ◽

Complex Decision

When solving a Multi-Criteria Decision-Making problem of any degree of complexity, many researchers rely on the analytic hierarchy process (AHP). To consider mutual connections between criteria and clusters at the same level and not only the hierarchical structure between criteria and subcriteria, researchers often upgrade from AHP to the Analytic Network Process (ANP), which also examines the interdependency of criteria. However, the ANP method requires a large number of pairwise comparisons. In the case of a complex decision-making problem, the authors of this paper suggest upgrading the AHP method with the graph theory and matrix approach (GTMA) for several reasons: (1) The new method is based on digraphs and permanent value computation, which does not require a hypothesis about interdependency; (2) in case of similar alternatives, the distinguishable coefficient of the new method is higher than those computed for AHP and ANP; (3) the new method allows decision makers to rank comparable alternatives and to combine structurally similar methods without increasing the number of comparisons and the understanding of the results. The developed method (AH-GTMA) is validated by a numerical example of a complex decision-making problem based on a symmetrical set of similar alternatives, a third party logistic provider (3PLP) selection problem.

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A method for decision making with the OWA operator

Computer Science and Information Systems ◽

10.2298/csis110206044m ◽

2012 ◽

Vol 9 (1) ◽

pp. 357-380 ◽

Cited By ~ 5

Author(s):

José Merigó ◽

Anna Gil-Lafuente

Keyword(s):

Decision Making ◽

Distance Measures ◽

Weighted Averaging ◽

Owa Operator ◽

Minimum Level ◽

Ordered Weighted Averaging ◽

Special Cases ◽

Wide Range ◽

Decision Making Problem ◽

Parameterized Family

A new method for decision making that uses the ordered weighted averaging (OWA) operator in the aggregation of the information is presented. It is used a concept that it is known in the literature as the index of maximum and minimum level (IMAM). This index is based on distance measures and other techniques that are useful for decision making. By using the OWA operator in the IMAM, we form a new aggregation operator that we call the ordered weighted averaging index of maximum and minimum level (OWAIMAM) operator. The main advantage is that it provides a parameterized family of aggregation operators between the minimum and the maximum and a wide range of special cases. Then, the decision maker may take decisions according to his degree of optimism and considering ideals in the decision process. A further extension of this approach is presented by using hybrid averages and Choquet integrals. We also develop an application of the new approach in a multi-person decision-making problem regarding the selection of strategies.

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A New Optimization Method for Supplier Evaluation in the Context of Volume Discount

Supply Chain Optimization, Management and Integration ◽

10.4018/978-1-60960-135-5.ch005 ◽

2011 ◽

pp. 64-75

Author(s):

Reza Farzipoor Saen

Keyword(s):

Decision Making ◽

Supplier Selection ◽

Selection Process ◽

Multiple Criteria Decision Making ◽

Optimization Method ◽

Multiple Criteria ◽

Supplier Evaluation ◽

Imprecise Data ◽

Common Criteria ◽

Decision Making Problem

Supplier selection is a multiple criteria decision making problem that the selection process mainly involves evaluating a number of suppliers according to a set of common criteria for selecting suppliers to meet business needs. Suppliers usually offer volume discounts to encourage the buyers to order more. To select suppliers in the presence of both volume discounts and imprecise data, this chapter proposes an optimization method. A numerical example demonstrates the application of the proposed method.

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An integrated approach to multiple criteria decision making based on the average solution and normalized weights of criteria deduced by the hesitant fuzzy best worst method

Computers & Industrial Engineering ◽

10.1016/j.cie.2019.05.004 ◽

2019 ◽

Vol 133 ◽

pp. 83-94 ◽

Cited By ~ 20

Author(s):

Xiaomei Mi ◽

Huchang Liao

Keyword(s):

Decision Making ◽

Multiple Criteria Decision Making ◽

Integrated Approach ◽

Multiple Criteria ◽

Best Worst Method

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COMBINING THE SUITABILITY-FEASIBILITY-ACCEPTABILITY (SFA) STRATEGY WITH THE MCDM APPROACH

Facta Universitatis Series Mechanical Engineering ◽

10.22190/fume210711062z ◽

2021 ◽

Vol 19 (3) ◽

pp. 579

Author(s):

Sarfaraz Hashemkhani Zolfani ◽

Ramin Bazrafshan ◽

Parnian Akaberi ◽

Morteza Yazdani ◽

Fatih Ecer

Keyword(s):

Decision Making ◽

United Arab Emirates ◽

Multiple Criteria Decision Making ◽

Target Market ◽

Fish Market ◽

Decision Making Problem ◽

Criteria Weights ◽

Cost Of Transportation ◽

Selection Of

Suitability-Feasibility-Acceptability (SFA) is a fundamental tool for the development and selection of strategy. Any type of decision-making problem can be resolved by Multiple Criteria Decision Making (MCDM) methods. In this research, we explore the complexity of determining the proper goal market for the Chilean fish market. This study proposed a combined approach of SFA with MCDM methods in a real case study. The proposed structure helps to assign the best market for Chilean export fish to West Asia. Three countries (Saudi Arabia, the United Arab Emirates, and Oman) are selected as a target market in this region, and then related criteria are obtained from various sources. In order to develop a new market for the Chilean fishery industry, five major criteria, including the potential of a target market, region's economic attractiveness, consumption of the seafood, location, cost of transportation, and country risks, were selected based on the SFA framework. Calculating the criteria weights is performed by the Best-Worst (BWM) method, and ordering the alternatives is operated by Measurement Alternatives and Ranking according to compromise Solution (MARCOS) methods. The results showed that Oman is the best destination (importer) for the Chilean fish market (Salmon fish as the case).

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